US20040132101A1 - Optimized Fc variants and methods for their generation - Google Patents

Optimized Fc variants and methods for their generation Download PDF

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Publication number
US20040132101A1
US20040132101A1 US10/672,280 US67228003A US2004132101A1 US 20040132101 A1 US20040132101 A1 US 20040132101A1 US 67228003 A US67228003 A US 67228003A US 2004132101 A1 US2004132101 A1 US 2004132101A1
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US
United States
Prior art keywords
antibody
variant
antibody according
group
polypeptide
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US10/672,280
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English (en)
Inventor
Gregory Lazar
Arthur Chirino
Wei Dang
John Desjarlais
Stephen Doberstein
Robert Hayes
Sher Karki
Omid Vafa
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xencor Inc
Original Assignee
Xencor Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=33437072&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=US20040132101(A1) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Xencor Inc filed Critical Xencor Inc
Priority to US10/672,280 priority Critical patent/US20040132101A1/en
Assigned to XENCOR reassignment XENCOR ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CHIRINO, ARTHUR J., DANG, WEI, DESJARLAIS, JOHN RUDOLPH, DOBERSTEIN, STEPHEN KOHL, HAYES, ROBERT J., KARKI, SHER BAHADUR, LAZAR, GREGORY ALAN, VAFA, OMID
Priority to HUE11158851A priority patent/HUE034268T2/en
Priority to DK11158851.3T priority patent/DK2368911T3/en
Priority to US10/822,231 priority patent/US7317091B2/en
Priority to CA2916863A priority patent/CA2916863C/en
Priority to EP11158851.3A priority patent/EP2368911B1/en
Priority to CA2524399A priority patent/CA2524399C/en
Priority to KR1020057020865A priority patent/KR100890586B1/ko
Priority to JP2006509342A priority patent/JP4578467B2/ja
Priority to CA2766627A priority patent/CA2766627C/en
Priority to KR1020097009022A priority patent/KR100973564B1/ko
Priority to BRPI0410031-0A priority patent/BRPI0410031A/pt
Priority to PCT/US2004/009298 priority patent/WO2004099249A2/en
Priority to AU2004236160A priority patent/AU2004236160B2/en
Priority to KR1020077025218A priority patent/KR100956110B1/ko
Priority to CN201210057793.1A priority patent/CN102633880B/zh
Priority to BR122018016045A priority patent/BR122018016045B8/pt
Priority to EP04760504A priority patent/EP1620467A2/en
Priority to EP20208507.2A priority patent/EP3838920A1/en
Priority to SI200432404T priority patent/SI2368911T1/sl
Priority to EP16180152.7A priority patent/EP3101030B1/en
Priority to CN201510039848.XA priority patent/CN104788565A/zh
Priority to PL11158851T priority patent/PL2368911T4/pl
Priority to ES11158851.3T priority patent/ES2638568T3/es
Priority to CN2004800189855A priority patent/CN1867583B/zh
Publication of US20040132101A1 publication Critical patent/US20040132101A1/en
Priority to US11/124,620 priority patent/US8188231B2/en
Priority to US11/174,287 priority patent/US8084582B2/en
Priority to IL171723A priority patent/IL171723A/en
Priority to US11/396,495 priority patent/US20060235208A1/en
Priority to US11/483,250 priority patent/US7662925B2/en
Priority to US11/483,378 priority patent/US8093357B2/en
Priority to US11/495,242 priority patent/US20070053901A1/en
Priority to US11/538,411 priority patent/US20070275460A1/en
Priority to US11/544,165 priority patent/US20070148171A1/en
Priority to US11/618,488 priority patent/US20070202098A1/en
Priority to US11/618,472 priority patent/US20070219133A1/en
Priority to US11/618,457 priority patent/US20070224189A1/en
Priority to US11/686,853 priority patent/US20070166309A1/en
Priority to US11/747,804 priority patent/US20070224192A1/en
Assigned to XENCOR, INC. reassignment XENCOR, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: XENCOR
Priority to US11/764,001 priority patent/US8388955B2/en
Priority to US11/763,815 priority patent/US20090010920A1/en
Priority to US11/765,402 priority patent/US20070237766A1/en
Priority to US11/765,353 priority patent/US8735545B2/en
Priority to US11/765,390 priority patent/US20070237765A1/en
Priority to US11/765,378 priority patent/US20070238665A1/en
Priority to US11/766,581 priority patent/US20070286859A1/en
Priority to US11/766,609 priority patent/US20070248603A1/en
Priority to US11/766,624 priority patent/US20070237767A1/en
Priority to US11/766,596 priority patent/US20070243188A1/en
Priority to US11/838,824 priority patent/US20080260731A1/en
Priority to US11/841,755 priority patent/US20090215991A1/en
Priority to US11/841,718 priority patent/US20080057056A1/en
Priority to US11/841,843 priority patent/US20080161541A1/en
Priority to US11/841,821 priority patent/US20080051563A1/en
Priority to US11/841,654 priority patent/US8937158B2/en
Priority to US11/857,310 priority patent/US20080219974A1/en
Priority to US11/927,488 priority patent/US20090214526A1/en
Priority to US11/927,463 priority patent/US20080292621A1/en
Priority to US11/927,507 priority patent/US20090142340A1/en
Priority to US11/927,444 priority patent/US8124731B2/en
Priority to US11/929,742 priority patent/US20080181890A1/en
Priority to US11/981,596 priority patent/US20090081208A1/en
Priority to US11/981,822 priority patent/US8093359B2/en
Priority to US11/981,823 priority patent/US8039592B2/en
Priority to US11/981,606 priority patent/US20080242845A1/en
Priority to US11/982,231 priority patent/US20080254027A1/en
Priority to US12/016,884 priority patent/US20090162382A1/en
Priority to US12/018,754 priority patent/US20080199471A1/en
Priority to US12/024,317 priority patent/US20080206242A1/en
Priority to US12/027,694 priority patent/US20080152649A1/en
Priority to US12/156,184 priority patent/US20090042291A1/en
Priority to AU2008229860A priority patent/AU2008229860B2/en
Priority to AU2008261120A priority patent/AU2008261120B2/en
Priority to JP2009141638A priority patent/JP5226613B2/ja
Priority to US12/724,309 priority patent/US20100311954A1/en
Priority to US12/896,610 priority patent/US20110021755A1/en
Priority to US13/102,952 priority patent/US20110250681A1/en
Priority to IL213648A priority patent/IL213648A/en
Priority to US13/336,937 priority patent/US20120258092A1/en
Priority to US13/346,604 priority patent/US8383109B2/en
Priority to US13/406,347 priority patent/US8734791B2/en
Priority to US13/764,693 priority patent/US9051373B2/en
Priority to US13/773,473 priority patent/US8858937B2/en
Priority to US13/773,485 priority patent/US9353187B2/en
Priority to US13/870,781 priority patent/US8735547B2/en
Priority to US13/898,386 priority patent/US8809503B2/en
Priority to US13/915,608 priority patent/US8753628B2/en
Priority to US13/918,751 priority patent/US8753629B2/en
Priority to US14/078,501 priority patent/US8802823B2/en
Priority to US14/210,236 priority patent/US20150071948A1/en
Priority to US14/286,825 priority patent/US9714282B2/en
Priority to US14/326,373 priority patent/US9663582B2/en
Priority to US14/458,126 priority patent/US20150030592A1/en
Priority to US14/507,783 priority patent/US9657106B2/en
Priority to US14/550,561 priority patent/US9193798B2/en
Priority to US14/578,305 priority patent/US10113001B2/en
Priority to US15/149,047 priority patent/US10183999B2/en
Priority to US15/167,832 priority patent/US10184000B2/en
Priority to US15/167,822 priority patent/US20160347837A1/en
Priority to IL247597A priority patent/IL247597A0/en
Priority to US15/633,651 priority patent/US20180141997A1/en
Priority to US15/839,741 priority patent/US20180208668A1/en
Priority to US15/883,006 priority patent/US20180360981A1/en
Priority to US16/138,605 priority patent/US10584176B2/en
Priority to IL265538A priority patent/IL265538B/en
Priority to CY2022005C priority patent/CY2022005I2/el
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    • C07K2317/526—CH3 domain
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    • G16B15/20—Protein or domain folding

Definitions

  • the present invention relates to novel optimized Fc variants, engineering methods for their generation, and their application, particularly for therapeutic purposes.
  • Antibodies are immunological proteins that bind a specific antigen. In most mammals, including humans and mice, antibodies are constructed from paired heavy and light polypeptide chains. Each chain is made up of individual immunoglobulin (Ig) domains, and thus the generic term immunoglobulin is used for such proteins. Each chain is made up of two distinct regions, referred to as the variable and constant regions. The light and heavy chain variable regions show significant sequence diversity between antibodies, and are responsible for binding the target antigen. The constant regions show less sequence diversity, and are responsible for binding a number of natural proteins to elicit important biochemical events.
  • IgA which includes subclasses IgA1 and IgA2
  • IgD which includes subclasses IgA1 and IgA2
  • IgE which includes subclasses IgG1, IgG2, IgG3, and IgG4
  • IgM which includes subclasses IgG1, IgG2, IgG3, and IgG4
  • IgM immunoglobulins
  • FIG. 1 shows an IgG1 antibody, used here as an example to describe the general structural features of immunoglobulins.
  • IgG antibodies are tetrameric proteins composed of two heavy chains and two light chains.
  • the IgG heavy chain is composed of four immunoglobulin domains linked from N- to C-terminus in the order V H -C y 1-C y 2-C y 3, referring to the heavy chain variable domain, constant gamma 1 domain, constant gamma 2 domain, and constant gamma 3 domain respectively.
  • the IgG light chain is composed of two immunoglobulin domains linked from N- to C-terminus in the order V L -C L , referring to the light chain variable domain and the light chain constant domain respectively.
  • variable region of an antibody contains the antigen binding determinants of the molecule, and thus determines the specificity of an antibody for its target antigen.
  • the variable region is so named because it is the most distinct in sequence from other antibodies within the same class.
  • the majority of sequence variability occurs in the complementarity determining regions (CDRs).
  • CDRs complementarity determining regions
  • the variable region outside of the CDRs is referred to as the framework (FR) region.
  • FR framework
  • this characteristic architecture of antibodies provides a stable scaffold (the FR region) upon which substantial antigen binding diversity (the CDRs) can be explored by the immune system to obtain specificity for a broad array of antigens.
  • a number of high-resolution structures are available for a variety of variable region fragments from different organisms, some unbound and some in complex with antigen.
  • the sequence and structural features of antibody variable regions are well characterized (Morea et al., 1997, Biophys Chem 68:9-16; Morea et al., 2000, Methods 20:267-279), and the conserved features of antibodies have enabled the development of a wealth of antibody engineering techniques (Maynard et al., 2000, Annu Rev Biomed Eng 2:339-376).
  • Fragments comprising the variable region can exist in the absence of other regions of the antibody, including for example the antigen binding fragment (Fab) comprising V H -C ⁇ 1 and V H -C L , the variable fragment (Fv) comprising V H and V L, the single chain variable fragment (scFv) comprising V H and V L linked together in the same chain, as well as a variety of other variable region fragments (Little et al., 2000, Immunol Today 21:364-370).
  • Fab antigen binding fragment
  • Fv variable fragment
  • scFv single chain variable fragment
  • the Fc region of an antibody interacts with a number of Fc receptors and ligands, imparting an array of important functional capabilities referred to as effector functions.
  • the Fc region As shown in FIG. 1, comprises Ig domains C ⁇ 2 and C ⁇ 3 and the N-terminal hinge leading into C ⁇ 2.
  • An important family of Fc receptors for the IgG class are the Fc gamma receptors (Fc ⁇ Rs). These receptors mediate communication between antibodies and the cellular arm of the immune system (Raghavan et al., 1996, Annu Rev Cell Rev Biol 12:181-220; Ravetch et a., 2001, Annu Rev Immunol 19:275-290).
  • this protein family includes Fc ⁇ RI (CD64), including isoforms Fc ⁇ RIa, Fc ⁇ RIb, and Fc ⁇ RIc; Fc ⁇ RII (CD32), including isoforms Fc ⁇ RIIa (including allotypes H131 and R131), Fc ⁇ RIIb (including Fc ⁇ RIIb-1 and Fc ⁇ RIIb-2), and Fc ⁇ RIIc; and Fc ⁇ RIII (CD16), including isoforms Fc ⁇ RIIIa (including allotypes V158 and F158) and Fc ⁇ RIIIb (including allotypes Fc ⁇ RIIIb-NA1 and Fc ⁇ RIIIb-NA2) (Jefferis et al., 2002, Immunol Lett 82:57-65).
  • These receptors typically have an extracellular domain that mediates binding to Fc, a membrane spanning region, and an intracellular domain that may mediate some signaling event within the cell.
  • These receptors are expressed in a variety of immune cells including monocytes, macrophages, neutrophils, dendritic cells, eosinophils, mast cells, platelets, B cells, large granular lymphocytes, Langerhans' cells, natural killer (NK) cells, and ⁇ T cells.
  • NK natural killer
  • ADCC antibody dependent cell-mediated cytotoxicity
  • ADCP antibody dependent cell-mediated phagocytosis
  • the different IgG subclasses have different affinities for the Fc ⁇ Rs, with IgG1 and IgG3 typically binding substantially better to the receptors than IgG2 and IgG4 (Jefferis et al., 2002, Immunol Lett 82:57-65). All Fc ⁇ Rs bind the same region on IgG Fc, yet with different affinities: the high affinity binder Fc ⁇ RI has a Kd for IgG1 of 10 ⁇ 8 M ⁇ 1 , whereas the low affinity receptors Fc ⁇ RII and Fc ⁇ RIII generally bind at 10 ⁇ 6 and 10 ⁇ 5 respectively.
  • Fc ⁇ RIIIa and Fc ⁇ RIIIb are 96% identical, however Fc ⁇ RIIIb does not have a intracellular signaling domain.
  • Fc ⁇ RI, Fc ⁇ RIIa/c, and Fc ⁇ RIIIa are positive regulators of immune complex-triggered activation, characterized by having an intracellular domain that has an immunoreceptor tyrosine-based activation motif (ITAM)
  • Fc ⁇ RIIb has an immunoreceptor tyrosine-based inhibition motif (ITIM) and is therefore inhibitory.
  • IITAM immunoreceptor tyrosine-based activation motif
  • ITIM immunoreceptor tyrosine-based inhibition motif
  • the receptors also differ in expression pattern and levels on different immune cells.
  • V158 allotype respond favorably to rituximab treatment; however, patients with the lower affinity F158 allotype respond poorly (Cartron et al., 2002, Blood 99:754-758).
  • Approximately 10-20% of humans are V158/V158 homozygous, 45% are V158/F158 heterozygous, and 35-45% of humans are F158/F158 homozygous (Lehrnbecher et al., 1999, Blood 94:4220-4232; Cartron et al., 2002, Blood 99:754-758).
  • 80-90% of humans are poor responders, that is they have at least one allele of the F158 Fc ⁇ RIIIa.
  • FIG. 1 An overlapping but separate site on Fc, shown in FIG. 1, serves as the interface for the complement protein C1q.
  • Fc/Fc ⁇ R binding mediates ADCC
  • Fc/C1q binding mediates complement dependent cytotoxicity (CDC).
  • C1q forms a complex with the serine proteases C1r and C1s to form the C1 complex.
  • C1q is capable of binding six antibodies, although binding to two IgGs is sufficient to activate the complement cascade.
  • IgG subclasses Similar to Fc interaction with Fc ⁇ Rs, different IgG subclasses have different affinity for C1q, with IgG1 and IgG3 typically binding substantially better to the Fc ⁇ Rs than IgG2 and IgG4 (Jefferis et al., 2002, Immunol Lett 82:57-65).
  • This process coupled with preclusion of kidney filtration due to the large size of the full length molecule, results in favorable antibody serum half-lives ranging from one to three weeks. Binding of Fc to FcRn also plays a key role in antibody transport.
  • the binding site for FcRn on Fc is also the site at which the bacterial proteins A and G bind.
  • the tight binding by these proteins is typically exploited as a means to purify antibodies by employing protein A or protein G affinity chromatography during protein purification.
  • the fidelity of this region on Fc is important for both the clinical properties of antibodies and their purification.
  • a key feature of the Fc region is the conserved N-linked glycosylation that occurs at N297, shown in FIG. 1.
  • This carbohydrate, or oligosaccharide as it is sometimes referred, plays a critical structural and functional role for the antibody, and is one of the principle reasons that antibodies must be produced using mammalian expression systems. While not wanting to be limited to one theory, it is believed that the structural purpose of this carbohydrate may be to stabilize or solubilize Fc, determine a specific angle or level of flexibility between the C ⁇ 3 and C ⁇ 2 domains, keep the two C ⁇ 2 domains from aggregating with one another across the central axis, or a combination of these.
  • An Fc fusion combines the Fc region of an antibody, and thus its favorable effector functions and pharmacokinetics, with the target-binding region of a receptor, ligand, or some other protein or protein domain.
  • the role of the latter is to mediate target recognition, and thus it is functionally analogous to the antibody variable region. Because of the structural and functional overlap of Fc fusions with antibodies, the discussion on antibodies in the present invention extends directly to Fc fusions.
  • trastuzumab for the 222 patients tested was only 15%, with 8 complete and 26 partial responses and a median response duration and survival of 9 to 13 months (Cobleigh et al., 1999, J Clin Oncol 17:2639-2648).
  • any small improvement in mortality rate defines success.
  • a promising means for enhancing the anti-tumor potency of antibodies is via enhancement of their ability to mediate cytotoxic effector functions such as ADCC, ADCP, and CDC.
  • cytotoxic effector functions such as ADCC, ADCP, and CDC.
  • the importance of Fc ⁇ R-mediated effector functions for the anti-cancer activity of antibodies has been demonstrated in mice (Clynes et al., 1998, Proc Natl Acad Sci USA 95:652-656; Clynes et al., 2000, Nat Med 6:443-446), and the affinity of interaction between Fc and certain Fc ⁇ Rs correlates with targeted cytotoxicity in cell-based assays (Shields et al., 2001, J Biol Chem 276:6591-6604; Presta et al., 2002, Biochem Soc Trans 30:487-490; Shields et al., 2002, J Biol Chem 277:26733-26740).
  • Shields et al. used alanine scanning mutagenesis to map Fc residues important to Fc ⁇ R binding, followed by substitution of select residues with non-alanine mutations (Shields et al., 2001, J Biol Chem 276:6591-6604; Presta et al., 2002, Biochem Soc Trans 30:487-490) (PCT WO 00/42072).
  • S298A, E333A, and K334A show enhanced binding to the activating receptor Fc ⁇ RIIIa and reduced binding to the inhibitory receptor Fc ⁇ RIIb. These mutations were combined to obtain double and triple mutation variants that show additive improvements in binding.
  • the best variant disclosed in this study is a S298A/E333A/K334A triple mutant with approximately a 1.7-fold increase in binding to F158 Fc ⁇ RIIIa, a 5-fold decrease in binding to Fc ⁇ RIIb, and a 2.1-fold enhancement in ADCC.
  • Effector function can also be a problem for radiolabeled antibodies, referred to as radioconjugates, and antibodies conjugated to toxins, referred to as immunotoxins.
  • radioconjugates antibodies conjugated to toxins
  • immunotoxins These drugs can be used to destroy cancer cells, but the recruitment of immune cells via Fc interaction with Fc ⁇ Rs brings healthy immune cells in proximity to the deadly payload (radiation or toxin), resulting in depletion of normal lymphoid tissue along with targeted cancer cells (Hutchins et al., 1995, Proc Natl Acad Sci USA 92:11980-11984; White et al., 2001, Annu Rev Med 52:125-145).
  • This problem can potentially be circumvented by using IgG isotypes that poorly recruit complement or effector cells, for example IgG2 and IgG4.
  • Fc variants should be engineered that not only ablate binding to Fc ⁇ Rs and/or C1q, but also maintain antibody stability, solubility, and structural integrity, as well as ability to interact with other important Fc ligands such as FcRn and proteins A and G.
  • the present invention addresses another major shortcoming of antibodies, namely their demanding production requirements (Garber, 2001, Nat Biotechnol 19:184-185; Dove, 2002, Nat Biotechnol 20:777-779).
  • Antibodies must be expressed in mammalian cells, and the currently marketed antibodies together with other high-demand biotherapeutics consume essentially all of the available manufacturing capacity.
  • the downstream effects of insufficient antibody manufacturing capacity are three-fold. First, it dramatically raises the cost of goods to the producer, a cost that is passed on to the patient. Second, it hinders industrial production of approved antibody products, limiting availability of high demand therapeutics to patients. Finally, because clinical trials require large amounts of a protein that is not yet profitable, the insufficient supply impedes progress of the growing antibody pipeline to market.
  • Bacterial expression is another attractive solution to the antibody production problem.
  • Expression in bacteria for example E. coli, provides a cost-effective and high capacity method for producing proteins.
  • complex proteins such as antibodies there are a number of obstacles to bacterial expression, including folding and assembly of these complex molecules, proper disulfide formation, and solubility, stability, and functionality in the absence of glycosylation because proteins expressed in bacteria are not glycosylated.
  • Full length unglycosylated antibodies that bind antigen have been successfully expressed in E.
  • aglycosylated Fc with favorable solution properties and the capacity to mediate effector functions would be significantly enabling for the alternate production methods described above.
  • antibodies can be produced in bacteria and transgenic plants and animals with reduced risk of immunogenicity, and with effector function for clinical applications in which cytotoxicity is desired such as cancer.
  • the present invention describes the utilization of protein engineering methods to develop stable, soluble Fc variants with effector function. Currently, such Fc variants do not exist in the art.
  • the present invention provides a variety of engineering methods, many of which are based on more sophisticated and efficient techniques, which may be used to overcome these obstacles in order to develop Fc variants that are optimized for the desired properties.
  • the described engineering methods provide design strategies to guide Fc modification, computational screening methods to design favorable Fc variants, library generation approaches for determining promising variants for experimental investigation, and an array of experimental production and screening methods for determining the Fc variants with favorable properties.
  • the present invention provides Fc variants that are optimized for a number of therapeutically relevant properties.
  • Fc positions at which amino acid modifications may be made to generate optimized Fc variants.
  • Said Fc positions include 240, 244, 245, 247, 262, 263, 266, 299, 313, 325, 328, and 332, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • the present invention describes any amino acid modification at any of said novel Fc positions in order to generate an optimized Fc variant.
  • a computationally screened Fc variant is one that is predicted by the computational screening calculations described herein as having a significantly greater potential than random for being optimized for a desired property. In this way, computational screening serves as a prelude to or surrogate for experimental screening, and thus said computationally screened Fc variants are considered novel.
  • Fc variants that have been characterized using one or more of the experimental methods described herein.
  • said Fc variants comprise at least one amino acid substitution at a position selected from the group consisting of: 234, 235, 239, 240, 241, 243, 244, 245, 247, 262, 263, 264, 265, 266, 267, 269, 296, 297, 298, 299, 313, 325, 327, 328, 329, 330, and 332, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants comprise at least one substitution selected from the group consisting of L234D, L234E, L234N, L234Q, L234T, L234H, L234Y, L234I, L234V, L234F, L235D, L235S, L235N, L235Q, L235T, L235H, L235Y, L235I, L235V, L235F, S239D, S239E, S239N, S239Q, S239F, S239T, S239H, S239Y, V240I, V240A, V240T, V240M, F241W, F241L, F241Y, F241E, F241R, F243W, F243L, F243Y, F243R, F243Q, P244H, P245A, P247V, P247G, V262I, V262A, V262T, V262E, V
  • said Fc variants are selected from the group consisting of V264L, V264I, F241W, F241L, F243W, F243L, F241L/F243L/V262I/V264I, F241W/F243W, F241W/F243W/V262A/V264A, F241L/V262I, F243L/V264I, F243L/V262I/V264W, F241Y/F243Y/V262T/V264T, F241E/F243R/V262E/V264R, F241E/F243Q/V262T/V264E, F241R/F243Q/V262T/V264R, F241E/F243Y/V262T/V264R, L328M, L328E, L328F, I332E, L328M/I332E, P244H, P245A, P247V, W3
  • Fc variant that binds with greater affinity to one or more Fc ⁇ Rs.
  • said Fc variants have affinity for an Fc ⁇ R that is more than 1-fold greater than that of the parent Fc polypeptide.
  • said Fc variants have affinity for an Fc ⁇ R that is more than 5-fold greater than that of the parent Fc polypeptide.
  • said Fc variants have affinity for an Fc ⁇ R that is between 5-fold and 300-fold greater than that of the parent Fc polypeptide.
  • said Fc variants comprise at least one amino acid substitution at a position selected from the group consisting of: 234, 235, 239, 240, 243, 264, 266, 328, 330, 332, and 325, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants comprise at least one amino acid substitution selected from the group consisting of: L234E, L234Y, L234I, L235D, L235S, L235Y, L235I, S239D, S239E, S239N, S239Q, S239T, V240I, V240M, F243L, V264I, V264T, V264Y, V266I, L328M, L328I, L328Q, L328D, L328V, L328T, A330Y, A330L, A330I, I133D, I332E, I332N, I332Q, and N325T, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants are selected from the group consisting of V264I, F243L/V264I, L328M, I332E, L328M/I332E, V264I/I332E, S298A/I 332E, S239E/I332E, S239Q/I332E, S239E, A330Y, I332D, L328I/I332E, L328Q/I332E, V264T, V240I, V266I, S239D, S239D/I332D, S239D/I332E, S239D/I332N, S239D/I332Q, S239E/I332D, S239E/I332N, S239E/I332Q, S239N/I332D, S239N/I332E, S239Q/I332D, A330Y/I332E, V264I/A330Y
  • Fc variantd that have a Fc ⁇ RIIIa-fold:Fc ⁇ RIIb-fold ratio greater than 1:1.
  • said Fc variants have a Fc ⁇ RIIIa-fold:Fc ⁇ RIIb-fold ratio greater than 11:1.
  • said Fc variants have a Fc ⁇ RIIIa-fold:Fc ⁇ RIIb-fold ratio between 11:1 and 86:1.
  • said Fc variants comprise at least one amino acid substitution at a position selected from the group consisting of: 234, 235, 239, 240, 264, 296, 330, and 1332, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants comprise at least one amino acid substitution selected from the group consisting of: L234Y, L234I, L235I, S239D, S239E, S239N, S239Q, V240A, V240M, V264I, V264Y, Y296Q, A330L, A330Y, A330I, I332D, and I332E, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants are selected from the group consisting of: I332E, V264I/I332E, S239E/I332E, S239Q/I332E, Y296Q, A330L, A330Y, I332D, S239D, S239D/I332E, A330Y/I332E, V264I/A330Y/I332E, A330L/I332E, V264I/A330L/I332E, L234Y, L234I, L235I, V240A, V240M, V264Y, A330I, S239D/A330L/I332E, S239D/S298A/I332E, S239N/S298A/I332E, S239D/V264I/I332E, S239D/V264I/S298A/I332E, and S239D/V264I/A330L/I
  • Fc variants that mediate effector function more effectively in the presence of effector cells.
  • said Fc variants mediate ADCC that is greater than that mediated by the parent Fc polypeptide.
  • said Fc variants mediate ADCC that is more than 5-fold greater than that mediated by the parent Fc polypeptide.
  • said Fc variants mediate ADCC that is between 5-fold and 50-fold greater than that mediated by the parent Fc polypeptide.
  • said Fc variants comprise at least one amino acid substitution at a position selected from the group consisting of: 234, 235, 239, 240, 243, 264, 266, 328, 330, 332, and 325, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants comprise at least one amino acid substitutions selected from the group consisting of: L234E, L234Y, L234I, L235D, L235S, L235Y, L235I, S239D, S239E, S239N, S239N, S239Q, S239T, V240I, V240M, F243L, V264I, V264T, V264Y, V266I, L328M, L328I, L328Q, L328D, L328V, L328T, A330Y, A330L, A330I, I332D, I332E, I332N, I332Q, and N325T, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants are selected from the group consisting of: V264I, F243L/V264I, L328M, I332E, L328M/I332E, V264I/I332E, S298A/I332E, S239E/I332E, S239Q/I332E, S239E, A330Y, I332D, L328I/I332E, L328Q/I332E, V264T, V240I, V266I, S239D, S239D/I332D, S239D/I332E, S239D/I332N, S239D/I332Q, S239E/I332D, S239E/I332N, S239E/I332Q, S239N/I332D, S239N/I332E, S239Q/I332D, A330Y/I332E, V264I/A330
  • Fc variants that bind with weaker affinity to one or more Fc ⁇ Rs.
  • said Fc variants comprise at least one amino acid substitution at a position selected from the group consisting of: 234, 235, 239, 240, 241, 243, 244, 245, 247, 262, 263, 264, 265, 266, 267, 269, 296, 297, 298, 299, 313, 325, 327, 328, 329, 330, and 332, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants comprise an amino acid substitution at a position selected from the group consisting of: L234D, L234N, L234Q, L234T, L234H, L234V, L234F, L235N, L235Q, L235T, L235H, L235V, L235F, S239E, S239N, S239Q, S239F, S239H, S239Y, V240A, V240T, F241W, F241L, F241Y, F241E, F241R, F243W, F243L F243Y, F243R, F243Q, P244H, P245A, P247V, P247G, V262I, V262A, V262T, V262E, V263I, V263A, V263T, V263M, V264L, V264I, V264W, V264T, V264R, V264F, V264
  • said Fc variants are selected from the group consisting of: V264L, F241W, F241L, F243W, F243L, F241L/V243L/V262I/V264I, F241W/F243W, F241W/F243W/V262A/V264A, F241L/V262I, F243L/V262I/V264W, F241Y/F243Y/V262T/V264T, F241E/F243R/V262E/V264R, F241E/F243Q/V262T/V264E, F241R/F243Q/V262T/V264R, F241E/F243Y/V262T/V264R, L328M, L328E, L328F, P244H, P245A, P247V, W313F, P244H/P245A/P247V, P247G, F24
  • Fc variants that mediate ADCC in the presence of effector cells less effectively.
  • said Fc variants comprise at least one amino acid substitution at a position selected from the group consisting of: 234, 235, 239, 240, 241, 243, 244, 245, 247, 262, 263, 264, 265, 266, 267, 269, 296, 297, 298, 299, 313, 325, 327, 328, 329, 330, and 332, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants comprise at least one amino acid substitution at a position selected from the group consisting of: L234D, L234N, L234Q, L234T, L234H, L234V, L234F, L235N, L235Q, L235T, L235H, L235V, L235F, S239E, S239N, S239Q, S239F, S239H, S239Y, V240A, V240T, F241W, F241L, F241Y, F241E, F241R, F243W, F243L F243Y, F243R, F243Q, P244H, P245A, P247V, P247G, V262I, V262A, V262T, V262E, V263I, V263A, V263T, V263M, V264L, V264I, V264W, V264T, V264R, V264F,
  • said Fc variants are selected from the group consisting of: V264L, F241W, F241L, F243W, F243L, F241L/F243L/V262I/V264I, F241W/F243W, F241W/F243W/V262A/V264A, F241 L/V262I, F243L/V262I/V264W, F241Y/F243Y/V262T/V264T, F241E/F243R/V262E/V264R, F241E/F243Q/V262T/V264E, F241R/F243Q/V262T/V264R, F241E/F243Y/V262T/V264R, L328M, L328E, L328F, P244H, P245A, P247V, W313F, P244H/P245A/P247V, P247G, F24
  • Improved functionality herein includes but is not limited to binding affinity to an Fc ligand.
  • Improved solution properties herein includes but is not limited to stability and solubility.
  • said aglycosylated Fc variants bind to an Fc ⁇ R with an affinity that is comparable to or better than the glycosylated parent Fc polypeptide.
  • said Fc variants bind to an Fc ⁇ R with an affinity that is within 0.4-fold of the glycosylated form of the parent Fc polypeptide.
  • said Fc variants comprise at least one amino acid substitution at a position selected from the group consisting of: 239, 241, 243, 262, 264, 265, 296, 297, 330, and 332, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants comprise an amino acid substitution selected from the group consisting of: S239D, S239E, F241Y, F243Y, V262T, V264T, V264E, D265Y, D265H, Y296N, N297D, A330Y, and I332E, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • said Fc variants are selected from the group consisting of: N297D/I332E, F241Y/F243Y/V262T/V264T/N297D/I332E, S239D/N297D/I332E, S239E/N297D/I332E, S239D/D265Y/N297D/I332E, S239D/D265H/N297D/I332E, V264E/N297D/I332E, Y296N/N297D/I332E, and N297D/A330Y/I332E, wherein the numbering of the residues in the Fc region is that of the EU index as in Kabat.
  • the present invention also provides methods for engineering optimized Fc variants. It is an object of the present invention to provide design strategies that may be used to guide Fc optimization. It is a further object of the present invention to provide computational screening methods that may be used to design Fc variants. It is a further object of the present invention to provide methods for generating libraries for experimental testing. It is a further object of the present invention to provide experimental production and screening methods for obtaining optimized Fc variants.
  • the present invention provides isolated nucleic acids encoding the Fc variants described herein.
  • the present invention provides vectors comprising said nucleic acids, optionally, operably linked to control sequences.
  • the present invention provides host cells containing the vectors, and methods for producing and optionally recovering the Fc variants.
  • the present invention provides novel antibodies and Fc fusions that comprise the Fc variants disclosed herein. Said novel antibodies and Fc fusions may find use in a therapeutic product.
  • compositions comprising antibodies and Fc fusions that comprise the Fc variants described herein, and a physiologically or pharmaceutically acceptable carrier or diluent.
  • the present invention contemplates therapeutic and diagnostic uses for antibodies and Fc fusions that comprise the Fc variants disclosed herein.
  • FIG. 1 Antibody structure and function. Shown is a model of a full length human IgG1 antibody, modeled using a humanized Fab structure from pdb accession code 1 CE1 (James et al., 1999, J Mol Biol 289:293-301) and a human IgGl Fc structure from pdb accession code 1DN2 (DeLano et al., 2000, Science 287:1279-1283). The flexible hinge that links the Fab and Fc regions is not shown. IgG1 is a homodimer of heterodimers, made up of two light chains and two heavy chains.
  • the Ig domains that comprise the antibody are labeled, and include V L and C L for the light chain, and V H , Cgamma1 (C ⁇ 1), Cgamma2 (C ⁇ 2), and Cgamma3 (C ⁇ 3) for the heavy chain.
  • the Fc region is labeled. Binding sites for relevant proteins are labeled, including the antigen binding site in the variable region, and the binding sites for Fc ⁇ Rs, FcRn, C1q, and proteins A and G in the Fc region.
  • FIG. 2 The Fc/Fc ⁇ RIIIb complex structure 1IIS.
  • Fc is shown as a gray ribbon diagram
  • Fc ⁇ RIIIb is shown as a black ribbon
  • the N297 carbohydrate is shown as black sticks.
  • FIG. 3 The amino acid sequence of the heavy chain of the antibody alemtuzumab (Campath®, a registered trademark of Ilex Pharmaceuticals LP), illustrating positions numbered sequentially (2 lines above the amino acid sequence) and positions numbered according to the EU index as in Kabat (2 lines below the amino acid sequence.
  • the approximate beginnings of 1g domains VH1, C ⁇ 1, the hinge, C ⁇ 2, and C ⁇ 3 are also labeled above the sequential numbering.
  • Polymorphisms have been observed at a number of Fc positions, including but not limited to Kabat 270, 272, 312, 315, 356, and 358, and thus slight differences between the presented sequence and sequences in the prior art may exist.
  • FIG. 4 Experimental library residues mapped onto the Fc/Fc ⁇ RIIIb complex structure 1IIS.
  • Fc is shown as a gray ribbon diagram
  • Fc ⁇ RIIIb is shown as a black ribbon.
  • Experimental library residues are shown as black ball and sticks.
  • the N297 carbohydrate is shown as black sticks.
  • FIG. 5 The human IgG1 Fc sequence showing positions relevant to the design of the Fc variant experimental library.
  • the sequence includes the hinge region, domain C ⁇ 2, and domain C ⁇ 3. Residue numbers are according to the EU index as in Kabat. Positions relevant to the experimental library are underlined. Because of observed polymorphic mutations at a number of Fc positions, slight differences between the presented sequence and sequences in the literature may exist.
  • FIG. 6 Expression of Fc variant and wild type (WT) proteins of alemtuzumab in 293T cells. Plasmids containing alemtuzumab heavy chain genes (WT or variants) were co-transfected with plasmid containing the alemtuzumab light chain gene. Media were harvested 5 days after transfection. For each transfected sample, 10 ul medium was loaded on a SDS-PAGE gel for Western analysis. The probe for Western was peroxidase-conjugated goat-anti human IgG (Jackson Immuno-Research, catalog # 109-035-088). WT: wild type alemtuzumab; 1-10: alemtuzumab variants. H and L indicate antibody heavy chain and light chain, respectively.
  • FIG. 7 Purification of alemtuzumab using protein A chromatography. WT alemtuzumab proteins was expressed in 293T cells and the media was harvested 5 days after transfection. The media were diluted 1:1 with PBS and purified with protein A (Pierce, Catalog # 20334). O: original sample before purification; FT: flow through; E: elution; C: concentrated final sample. The left picture shows a Simple Blue-stained SDS-PAGE gel, and the right shows a western blot labeled using peroxidase-conjugated goat-anti human IgG.
  • FIG. 8 Production of deglycosylated antibodies. Wild type and variants of alemtuzumab were expressed in 293T cells and purified with protein A chromatography. Antibodies were incubated with peptide-N-glycosidase (PNGase F) at 37° C. for 24 h. For each antibody, a mock treated sample (-PNGase F) was done in parallel.
  • PNGase F peptide-N-glycosidase
  • WT wild-type alemtuzumab; #15, #16, #17, #18, #22: alemtuzumab variants F241E/F243R/V262E/V264R, F241E/F243Q/V262T/V264E, F241R/F243Q/V262T/V264R, F241E/F243Y/V262T/V264R, and I332E respectively.
  • the faster migration of the PNGase F treated versus the mock treated samples represents the deglycosylated heavy chains.
  • FIG. 9 Alemtuzumab expressed from 293T cells binds its antigen.
  • alemtuzumab from Sotec ⁇ -CD52, Sotec
  • media of transfected 293T cells Campath, Xencor
  • final alemtuzumab concentration approximately 0.1-0.2 ng/ul were used as primary antibody, and peroxidase-conjugated goat-anti human IgG was used as secondary antibody.
  • M pre-stained marker
  • U un-induced sample for GST-CD52
  • I induced sample for GST-CD52.
  • FIG. 10 Expression and purification of extracellular region of human V158 Fc ⁇ RIIIa.
  • Tagged Fc ⁇ RIIIa was transfected in 293T cells, and media containing secreted Fc ⁇ RIIIa were harvested 3 days later and purified using affinity chromatography. 1: media; 2: flow through; 3: wash; 4-8: serial elutions. Both simple blue-stained SDS-PAGE gel and western result are shown. For the western blot, membrane was probed with anti-GST antibody.
  • FIG. 11 Binding to human V158 Fc ⁇ RIIIa by select alemtuzumab Fc variants from the experimental library as determined by the AlphaScreenTM assay, described in Example 2. In the presence of competitor antibody (Fc variant or WT alemtuzumab) a characteristic inhibition curve is observed as a decrease in luminescence signal. Phosphate buffer saline (PBS) alone was used as the negative control. These data were normalized to the maximum and minimum luminescence signal provided by the baselines at low and high concentrations of competitor antibody respectively. The curves represent the fits of the data to a one site competition model using nonlinear regression. These fits provide IC50s for each antibody, illustrated for WT and S239D by the dotted lines.
  • PBS Phosphate buffer saline
  • FIGS. 12 AlphaScreenTM assay showing binding of select alemtuzumab Fc variants to human Fc ⁇ RIIb. The data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIGS. 13 AlphaScreenTM assay showing binding of select alemtuzumab Fc variants to human Val158 Fc ⁇ RIIIa. The data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIG. 14 AlphaScreenTM assay measuring binding to human V158 Fc ⁇ RIIIa by select Fc variants in the context of rituximab. The data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIG. 15 AlphaScreenTM assay measuring binding to human V158 Fc ⁇ RIIIa by select Fc variants in the context of trastuzumab. The data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIGS. 16 a - 16 b AlphaScreenTM assay comparing binding of select alemtuzumab Fc variants to human V158 Fc ⁇ RIIIa (FIG. 16 a ) and human Fc ⁇ RIIb (FIG. 16 b ). The data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIG. 17 AlphaScreenTM assay measuring binding to human V158 Fc ⁇ RIIIa by select Fc variants in the context of trastuzumab. The data were normalized, and the curves represent the fits of the data to a one site competition model.
  • FIGS. 18 AlphaScreenTM assay showing binding of select alemtuzumab Fc variants to human R131 Fc ⁇ RIIa. The data were normalized, and the curves represent the fits of the data to a one site competition model.
  • FIGS. 19 a and 19 b AlphaScreenTM assay showing binding of select alemtuzumab Fc variants to human V158 Fc ⁇ RIIIa. The data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIG. 20 AlphaScreenTM assay showing binding of aglycosylated alemtuzumab Fc variants to human V158 Fc ⁇ RIIIa. The data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIG. 21 AlphaScreenTM assay comparing human V158 Fc ⁇ RIIIa binding by select alemtuzumab Fc variants in glycosylated (solid symbols, solid lines) and deglycosylated (open symbols, dotted lines). The data were normalized, and the curves represent the fits of the data to a one site competition model.
  • FIGS. 22 a - 22 b AlphaScreenTM assay showing binding of select alemtuzumab Fc variants to the V158 (FIG. 22 a ) and F158 (FIG. 22 b ) allotypes of human Fc ⁇ RIIIa.
  • the data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIGS. 23 a - 23 d show the correlation between SPR Kd's and AlphaScreenTM IC50's from binding of select alemtuzumab Fc variants to V158 Fc ⁇ RIIIa (FIG. 23 a ) and F158 Fc ⁇ RIIIa (FIG. 23 b ).
  • FIGS. 23 c and 23 d show the correlation between SPR and AlphaScreenTM fold-improvements over WT for binding of select alemtuzumab Fc variants to V158 Fc ⁇ RIIIa (FIG. 23 c ) and F158 Fc ⁇ RIIIa (FIG. 23 d ).
  • Binding data are presented in Table 62. The lines through the data represent the linear fits of the data, and the r 2 values indicate the significance of these fits.
  • FIGS. 24 a - 24 b Cell-based ADCC assays of select Fc variants in the context of alemtuzumab. ADCC was measured using the DELFIA® EuTDA-based cytotoxicity assay (Perkin Elmer, Mass.), as described in Example 7, using DoHH-2 lymphoma target cells and 50-fold excess human PBMCs.
  • FIG. 24 a is a bar graph showing the raw fluorescence data for the indicated alemtuzumab antibodies at 10 ng/ml. The PBMC bar indicates basal levels of cytotoxicity in the absence of antibody.
  • 24 b shows the dose-dependence of ADCC on antibody concentration for the indicated alemtuzumab antibodies, normalized to the minimum and maximum fluorescence signal provided by the baselines at low and high concentrations of antibody respectively.
  • the curves represent the fits of the data to a sigmoidal dose-response model using nonlinear regression.
  • FIGS. 25 a - 25 b Cell-based ADCC assays of select Fc variants in the context of rituximab. ADCC was measured using the DELFIA® EuTDA-based cytotoxicity assay, as described in Example 7, using WIL2-S lymphoma target cells and 50-fold excess human PBMCs.
  • FIG. 25 a is a bar graph showing the raw fluorescence data for the indicated rituximab antibodies at 1 ng/ml. The PBMC bar indicates basal levels of cytotoxicity in the absence of antibody.
  • 25 b shows the dose-dependence of ADCC on antibody concentration for the indicated rituximab antibodies, normalized to the minimum and maximum fluorescence signal provided by the baselines at low and high concentrations of antibody respectively.
  • the curves represent the fits of the data to a sigmoidal dose-response model using nonlinear regression.
  • FIGS. 26 a - 26 c Cell-based ADCC assays of select Fc variants in the context of trastuzumab. ADCC was measured using the DELFIA® EuTDA-based cytotoxicity assay, as described in Example 7, using BT474 and Sk-Br-3 breast carcinoma target cells and 50-fold excess human PBMCs.
  • FIG. 26 a is a bar graph showing the raw fluorescence data for the indicated trastuzumab antibodies at 1 ng/ml. The PBMC bar indicates basal levels of cytotoxicity in the absence of antibody.
  • 26 b and 26 c show the dose-dependence of ADCC on antibody concentration for the indicated trastuzumab antibodies, normalized to the minimum and maximum fluorescence signal provided by the baselines at low and high concentrations of antibody respectively.
  • the curves represent the fits of the data to a sigmoidal dose-response model using nonlinear regression.
  • FIGS. 27 a - 27 b Capacity of select Fc variants to mediate binding and activation of complement.
  • FIG. 27 a shows an AlphaScreenTM assay measuring binding of select alemtuzumab Fc variants to C1q. The data were normalized to the maximum and minimum luminescence signal provided by the baselines at low and high concentrations of competitor antibody respectively. The curves represent the fits of the data to a one site competition model using nonlinear regression.
  • FIG. 27 b shows a cell-based assay measuring capacity of select rituximab Fc variants to mediate CDC.
  • CDC assays were performed using Amar Blue to monitor lysis of Fc variant and WT rituximab—opsonized WIL2-S lymphoma cells by human serum complement (Quidel, San Diego, Calif.). The dose-dependence on antibody concentration of complement-mediated lysis is shown for the indicated rituximab antibodies, normalized to the minimum and maximum fluorescence signal provided by the baselines at low and high concentrations of antibody respectively. The curves represent the fits of the data to a sigmoidal dose-response model using nonlinear regression.
  • FIG. 28 AlphaScreenTM assay measuring binding of select alemtuzumab Fc variants to bacterial protein A, as described in Example 9. The data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIG. 29 AlphaScreenTM assay measuring binding of select alemtuzumab Fc variants to mouse Fc ⁇ RIII, as described in Example 10. The data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIG. 30 AlphaScreenTM assay measuring binding to human V158 Fc ⁇ RIIIa by select trastuzumab Fc variants expressed in 293T and CHO cells, as described in Example 11. The data were normalized, and the curves represent the fits of the data to a one site competition model. PBS was used as a negative control.
  • FIGS. 31 a - 31 c Sequences showing improved anti-CD20 antibodies.
  • the light and heavy chain sequences of rituximab are presented in FIG. 31 a and FIG. 31 b respectively, and are taken from translated Sequence 3 of U.S. Pat. No. 5,736,137.
  • Relevant positions in FIG. 31 b are bolded, including S239, V240, V264I, N297, S298, A330, and I332.
  • FIG. 31 c shows the improved anti-CD20 antibody heavy chain sequences, with variable positions designated in bold as X 1 , X 2 , X 3 , X 4 , X 5 , X 6 , and Z 1 .
  • the improved anti-CD20 antibody sequences comprise at least one non-WT amino acid selected from the group of possible substitutions for X 1 , X 2 , X 3 , X 4 , X 5 , and X 6 . These improved anti-CD20 antibody sequences may also comprise a substitution Z 1 . These positions are numbered according to the EU index as in Kabat, and thus do not correspond to the sequential order in the sequence.
  • ADCC antibody dependent cell-mediated cytotoxicity
  • ADCP antibody dependent cell-mediated phagocytosis as used herein is meant the cell-mediated reaction wherein nonspecific cytotoxic cells that express Fc ⁇ Rs recognize bound antibody on a target cell and subsequently cause phagocytosis of the target cell.
  • amino acid modification herein is meant an amino acid substitution, insertion, and/or deletion in a polypeptide sequence.
  • the preferred amino acid modification herein is a substitution. **TT
  • antibody herein is meant a protein consisting of one or more polypeptides substantially encoded by all or part of the recognized immunoglobulin genes.
  • the recognized immunoglobulin genes include the kappa ( ⁇ ), lambda ( ⁇ ), and heavy chain genetic loci, which together comprise the myriad variable region genes, and the constant region genes mu ( ⁇ ), delta ( ⁇ ), gamma ( ⁇ ), sigma ( ⁇ ), and alpha ( ⁇ ) which encode the IgM, IgD, IgG, IgE, and IgA isotypes respectively.
  • Antibody herein is meant to include full length antibodies and antibody fragments, and may refer to a natural antibody from any organism, an engineered antibody, or an antibody generated recombinantly for experimental, therapeutic, or other purposes as further defined below.
  • antibody includes both polyclonal and monoclonal antibody (mAb). Methods of preparation and purification of monoclonal and polyclonal antibodies are known in the art and e.g., are described in Harlow and Lane, Antibodies: A Laboratory Manual (New York: Cold Spring Harbor Laboratory Press, 1988).
  • antibody specifically includes Fc variants described herein, “full length” antibodies including the Fc variant fragments described herein, and Fc variant fusions to other proteins as described herein.
  • antibodies can be neutralizing or inhibitory, or stimulatory, and in preferred embodiments, as described herein, the stimulatory activity is measured by an increase in affinitiy of a variant antibody to a receptor, as compared to either the parent antibody (e.g. when a non-naturally occurring variant is used as the starting point for the computation analysis herein), or to the original wild-type antibody.
  • neutralization e.g. competitively
  • a antigen e.g. competitively
  • antibody include antibody fragments, as are known in the art, such as Fab, Fab′, F(ab′)2, Fcs or other antigen-binding subsequences of antibodies, such as, single chain antibodies (Fv for example), chimeric antibodies, etc., either produced by the modification of whole antibodies or those synthesized de novo using recombinant DNA technologies. Particularly preferred are Fc variants as described herein.
  • antibody further comprises polyclonal antibodies and mAbs which can be agonist or antagonist antibodies.
  • the antibodies of the invention specifically bind to Fc receptors, as outlined herein.
  • specifically bind herein is meant that the LC antibodies have a binding constant in the range of at least 10 ⁇ 4 -10 ⁇ 6 M ⁇ 1 , with a preferred range being 10 ⁇ 7 -10 ⁇ 9 M ⁇ 1 .
  • the antibodies of the invention are humanized. Using current monoclonal antibody technology one can produce a humanized antibody to virtually any target antigen that can be identified [Stein, Trends Biotechnol. 15:88-90 (1997)].
  • Humanized forms of non-human (e.g., murine) antibodies are chimeric molecules of immunoglobulins, immunoglobulin chains or fragments thereof (such as Fv, Fc, Fab, Fab′, F(ab′)2 or other antigen-binding subsequences of antibodies) which contain minimal sequence derived from non-human immunoglobulin.
  • Humanized antibodies include human immunoglobulins (recipient antibody) in which residues form a complementary determining region (CDR) of the recipient are replaced by residues from a CDR of a non-human species (donor antibody) such as mouse, rat or rabbit having the desired specificity, affinity and capacity.
  • CDR complementary determining region
  • donor antibody such as mouse, rat or rabbit having the desired specificity, affinity and capacity.
  • Fv framework residues of the human immunoglobulin are replaced by corresponding non-human residues.
  • Humanized antibodies may also comprise residues which are found neither in the recipient antibody nor in the imported CDR or framework sequences.
  • the humanized antibody will comprise substantially all of at least one, and typically two, variable domains, in which all or substantially all of the CDR regions correspond to those of a non-human immunoglobulin and all or substantially all of the FR regions are those of a human immunoglobulin consensus sequence.
  • the humanized antibody optimally also will comprise at least a portion of an immunoglobulin constant region (Fc), typically that of a human immunoglobulin [Jones et al., Nature 321:522-525 (1986); Riechmann et al., Nature 332:323-329 (1988); and Presta, Curr. Op. Struct. Biol. 2:593-596 (1992)].
  • Fc immunoglobulin constant region
  • a humanized antibody has one or more amino acid residues introduced into it from a source which is non-human. These non-human amino acid residues are often referred to as import residues, which are typically taken from an import variable domain. Humanization can, be essentially performed following the method of Winter and co-workers [Jones et al., supra; Riechmann et al., supra; and Verhoeyen et al., Science, 239:1534-1536 (1988)], by substituting rodent CDRs or CDR sequences for the corresponding sequences of a human antibody. Additional examples of humanized murine monoclonal antibodies are also known in the art, e.g., antibodies binding human protein C [O'Connor et al., Protein Eng.
  • humanized antibodies are chimeric antibodies (U.S. Pat. No. 4,816,567), wherein substantially less than an intact human variable domain has been substituted by the corresponding sequence from a non-human species.
  • humanized antibodies are typically human antibodies in which some CDR residues and possibly some FR residues are substituted by residues from analogous sites in rodent antibodies.
  • the antibodies of the invention are based on human sequences, and are thus human sequences are used as the “base” sequences, against which other sequences, such as rat, mouse and monkey sequences.
  • the amino acid sequence of a precursor or parent Fc is directly compared to the human Fc sequence outlined herein. After aligning the sequences, using one or more of the homology alignment programs described herein (for example using conserved residues as between species), allowing for necessary insertions and deletions in order to maintain alignment (i.e., avoiding the elimination of conserved residues through arbitrary deletion and insertion), the residues equivalent to particular amino acids in the primary sequence of human Fc are defined. Alignment of conserved residues preferably should conserve 100% of such residues. However, alignment of greater than 75% or as little as 50% of conserved residues is also adequate to define equivalent residues (sometimes referred to herein as “corresponding residues”).
  • Equivalent residues may also be defined by determining homology at the level of tertiary structure for an Fc fragment whose tertiary structure has been determined by x-ray crystallography. Equivalent residues are defined as those for which the atomic coordinates of two or more of the main chain atoms of a particular amino acid residue of the parent or precursor (N on N, CA on CA, C on C and O on O) are within 0.13 nm and preferably 0.1 nm after alignment. Alignment is achieved after the best model has been oriented and positioned to give the maximum overlap of atomic coordinates of non-hydrogen protein atoms of the Fc variant fragment.
  • aglycosylated antibody as used herein is meant an antibody that lacks carbohydrate attached at position 297 of the Fc region, wherein numbering is according to the EU system as in Kabat.
  • the aglycosylated antibody may be a deglycosylated antibody, that is an antibody for which the Fc carbohydrate has been removed, for example chemically or enzymatically.
  • the aglycosylated antibody may be a nonglycosylated or unglycosylated antibody, that is an antibody that was expressed without Fc carbohydrate, for example by mutation of one or residues that encode the glycosylation pattern or by expression in an organism that does not attach carbohydrates to proteins, for example bacteria.
  • full-length antibodies that contain an Fc variant portion.
  • full length antibody herein is meant the structure that constitutes the natural biological form of an antibody, including variable and constant regions.
  • the full length antibody of the IgG class is a tetramer and consists of two identical pairs of two immunoglobulin chains, each pair having one light and one heavy chain, each light chain comprising immunoglobulin domains V L and C L , and each heavy chain comprising immunoglobulin domains V H , C ⁇ 1, C ⁇ 2, and C ⁇ 3.
  • IgG antibodies may consist of only two heavy chains, each heavy chain comprising a variable domain attached to the Fc region.
  • IgG as used herein is meant a polypeptide belonging to the class of antibodies that are substantially encoded by a recognized immunoglobulin gamma gene. In humans this class comprises IgG1, IgG2, IgG3, and IgG4. In mice this class comprises IgG1, IgG2a, IgG2b, IgG3.
  • amino acid and “amino acid identity” as used herein is meant one of the 20 naturally occurring amino acids or any non-natural analogues that may be present at a specific, defined position.
  • protein herein is meant at least two covalently attached amino acids, which includes proteins, polypeptides, oligopeptides and peptides.
  • the protein may be made up of naturally occurring amino acids and peptide bonds, or synthetic peptidomimetic structures, i.e. “analogs”, such as peptoids (see Simon et al., PNAS USA 89(20):9367 (1992)) particularly when LC peptides are to be administered to a patient.
  • amino acid or “peptide residue”, as used herein means both naturally occurring and synthetic amino acids. For example, homophenylalanine, citrulline and noreleucine are considered amino acids for the purposes of the invention. “Amino acid” also includes imino acid residues such as proline and hydroxyproline.
  • the side chain may be in either the (R) or the (S) configuration. In the preferred embodiment, the amino acids are in the (S) or L-configuration. If non-naturally occurring side chains are used, non-amino acid substituents may be used, for example to prevent or retard in vivo degradation.
  • computational screening method herein is meant any method for designing one or more mutations in a protein, wherein said method utilizes a computer to evaluate the energies of the interactions of potential amino acid side chain substitutions with each other and/or with the rest of the protein.
  • evaluation of energies referred to as energy calculation, refers to some method of scoring one or more amino acid modifications.
  • Said method may involve a physical or chemical energy term, or may involve knowledge-, statistical-, sequence-based energy terms, and the like.
  • the calculations that compose a computational screening method are herein referred to as “computational screening calculations”.
  • effector function as used herein is meant a biochemical event that results from the interaction of an antibody Fc region with an Fc receptor or ligand. Effector functions include but are not limited to ADCC, ADCP, and CDC.
  • effector cell as used herein is meant a cell of the immune system that expresses one or more Fc receptors and mediates one or more effector functions.
  • Effector cells include but are not limited to monocytes, macrophages, neutrophils, dendritic cells, eosinophils, mast cells, platelets, B cells, large granular lymphocytes, Langerhans' cells, natural killer (NK) cells, and ⁇ T cells, and may be from any organism including but not limited to humans, mice, rats, rabbits, and monkeys.
  • library herein is meant a set of Fc variants in any form, including but not limited to a list of nucleic acid or amino acid sequences, a list of nucleic acid or amino acid substitutions at variable positions, a physical library comprising nucleic acids that encode the library sequences, or a physical library comprising the Fc variant proteins, either in purified or unpurified form.
  • Fc Fc region
  • FC polypeptide etc. as used herein is meant an antibody as defined herein that includes the polypeptides comprising the constant region of an antibody excluding the first constant region immunoglobulin domain.
  • Fc refers to the last two constant region immunoglobulin domains of IgA, IgD, and IgG, and the last three constant region immunoglobulin domains of IgE and IgM, and the flexible hinge N-terminal to these domains.
  • IgA and IgM Fc may include the J chain.
  • IgG as illustrated in FIG.
  • Fc fusion as used herein is meant a protein wherein one or more polypeptides is operably linked to Fc.
  • Fc fusion is herein meant to be synonymous with the terms “immunoadhesin”, “Ig fusion”, “Ig chimera”, and “receptor globulin” (sometimes with dashes) as used in the prior art (Chamow et al., 1996, Trends Biotechnol 14:52-60; Ashkenazi et al., 1997, Curr Opin Immunol 9:195-200).
  • An Fc fusion combines the Fc region of an immunoglobulin with a fusion partner, which in general can be any protein, including, but not limited to, the target-binding region of a receptor, an adhesion molecule, a ligand, an enzyme, or some other protein or protein domain.
  • a fusion partner which in general can be any protein, including, but not limited to, the target-binding region of a receptor, an adhesion molecule, a ligand, an enzyme, or some other protein or protein domain.
  • the role of the non-Fc part of an Fc fusion is to mediate target binding, and thus it is functionally analogous to the variable regions of an antibody.
  • Fc gamma receptor or “Fc ⁇ R” as used herein is meant any member of the family of proteins that bind the IgG antibody Fc region and are substantially encoded by the Fc ⁇ R genes. In humans this family includes but is not limited to Fc ⁇ RI (CD64), including isoforms Fc ⁇ RIa, Fc ⁇ RIb, and Fc ⁇ RIc; Fc ⁇ RII (CD32), including isoforms Fc ⁇ RIIa (including allotypes H131 and R131), Fc ⁇ RIIb (including Fc ⁇ RIIb-1 and Fc ⁇ RIIb-2), and Fc ⁇ RIIc; and Fc ⁇ RIII (CD16), including isoforms Fc ⁇ RIIIa (including allotypes V158 and F158) and Fc ⁇ RIIIb (including allotypes Fc ⁇ RIIIb-NA1 and Fc ⁇ RIIIb-NA2) (Jefferis et al., 2002, Immunol Lett 82:57-65), as well
  • An Fc ⁇ R may be from any organism, including but not limited to humans, mice, rats, rabbits, and monkeys.
  • Mouse Fc ⁇ Rs include but are not limited to Fc ⁇ RI (CD64), Fc ⁇ RII (CD32), Fc ⁇ RIII (CD16), and Fc ⁇ RIII-2 (CD16-2), as well as any undiscovered mouse Fc ⁇ Rs or Fc ⁇ R isoforms or allotypes.
  • Fc ligand as used herein is meant a molecule, preferably a polypeptide, from any organism that binds to the Fc region of an antibody to form an Fc-ligand complex.
  • Fc ligands include but are not limited to Fc ⁇ Rs, Fc ⁇ Rs, Fc ⁇ Rs, FcRn, C1q, C3, mannan binding lectin, mannose receptor, staphylococcal protein A, streptococcal protein G, and viral Fc ⁇ R.
  • Fc ligands may include undiscovered molecules that bind Fc
  • IgG immunoglobulin gamma gene
  • this class comprises IgG1, IgG2, IgG3, and IgG4.
  • mice this class comprises IgG1, IgG2a, IgG2b, IgG3.
  • immunoglobulin (Ig) herein is meant a protein consisting of one or more polypeptides substantially encoded by immunoglobulin genes. Immunoglobulins include but are not limited to antibodies. Immunoglobulins may have a number of structural forms, including but not limited to full length antibodies, antibody fragments, and individual immunoglobulin domains.
  • immunoglobulin domain herein is meant a region of an immunoglobulin that exists as a distinct structural entity as ascertained by one skilled in the art of protein structure. Ig domains typically have a characteristic ⁇ -sandwich folding topology. The known Ig domains in the IgG class of antibodies are V H , C ⁇ 1, C ⁇ 2, C ⁇ 3, V L , and C L .
  • parent polypeptide or “precursor polypeptide” (including Fc parent or precursors) as used herein is meant a polypeptide that is subsequently modified to generate a variant.
  • Said parent polypeptide may be a naturally occurring polypeptide, or a variant or engineered version of a naturally occurring polypeptide.
  • Parent polypeptide may refer to the polypeptide itself, compositions that comprise the parent polypeptide, or the amino acid sequence that encodes it.
  • parent Fc polypeptide as used herein is meant an unmodified Fc polypeptide that is modified to generate a variant
  • parent antibody as used herein is meant an unmodified antibody that is modified to generate a variant antibody.
  • residue as used herein is meant a position in a protein and its associated amino acid identity.
  • Daragine 297 also referred to as N297, also referred to as N297
  • IgG1 human antibody
  • target antigen as used herein is meant the molecule that is bound specifically by the variable region of a given antibody.
  • a target antigen may be a protein, carbohydrate, lipid, or other chemical compound.
  • target cell as used herein is meant a cell that expresses a target antigen.
  • variable region as used herein is meant the region of an immunoglobulin that comprises one or more Ig domains substantially encoded by any of the V ⁇ , V ⁇ , and/or V H genes that make up the kappa, lambda, and heavy chain immunoglobulin genetic loci respectively.
  • variant polypeptide as used herein is meant a polypeptide sequence that differs from that of a parent polypeptide sequence by virtue of at least one amino acid modification.
  • Variant polypeptide may refer to the polypeptide itself, a composition comprising the polypeptide, or the amino sequence that encodes it.
  • the variant polypeptide has at least one amino acid modification compared to the parent polypeptide, e.g. from about one to about ten amino acid modifications, and preferably from about one to about five amino acid modifications compared to the parent.
  • the variant polypeptide sequence herein will preferably possess at least about 80% homology with a parent polypeptide sequence, and most preferably at least about 90% homology, more preferably at least about 95% homology.
  • Fc variant an Fc sequence that differs from that of a parent Fc sequence by virtue of at least one amino acid modification.
  • An Fc variant may only encompass an Fc region, or may exist in the context of an antibody, Fc fusion, or other polypeptide that is substantially encoded by Fc.
  • Fc variant may refer to the Fc polypeptide itself, compositions comprising the Fc variant polypeptide, or the amino acid sequence that encodes it.
  • the Fc variants of the present invention may be optimized for a variety of properties. Properties that may be optimized include but are not limited to enhanced or reduced affinity for an Fc ⁇ R.
  • the Fc variants of the present invention are optimized to possess enhanced affinity for a human activating Fc ⁇ R, preferably Fc ⁇ RI, Fc ⁇ RIIa, Fc ⁇ RIIc, Fc ⁇ RIIIa, and Fc ⁇ RIIIb, most preferably Fc ⁇ RIIIa.
  • the Fc variants are optimized to possess reduced affinity for the human inhibitory receptor Fc ⁇ RIIb. These preferred embodiments are anticipated to provide antibodies and Fc fusions with enhanced therapeutic properties in humans, for example enhanced effector function and greater anti-cancer potency.
  • the Fc variants of the present invention are optimized to have reduced or ablated affinity for a human Fc ⁇ R, including but not limited to Fc ⁇ RI, Fc ⁇ RIIa, Fc ⁇ RIIb, Fc ⁇ RIIc, Fc ⁇ RIIIa, and Fc ⁇ RIIIb. These embodiments are anticipated to provide antibodies and Fc fusions with enhanced therapeutic properties in humans, for example reduced effector function and reduced toxicity.
  • Preferred embodiments comprise optimization of Fc binding to a human Fc ⁇ R, however in alternate embodiments the Fc variants of the present invention possess enhanced or reduced affinity for Fc ⁇ Rs from nonhuman organisms, including but not limited to mice, rats, rabbits, and monkeys.
  • Fc variants that are optimized for binding to a nonhuman Fc ⁇ R may find use in experimentation.
  • mouse models are available for a variety of diseases that enable testing of properties such as efficacy, toxicity, and pharmacokinetics for a given drug candidate.
  • cancer cells can be grafted or injected into mice to mimic a human cancer, a process referred to as xenografting.
  • Testing of antibodies or Fc fusions that comprise Fc variants that are optimized for one or more mouse Fc ⁇ Rs may provide valuable information with regard to the efficacy of the antibody or Fc fusion, its mechanism of action, and the like.
  • the Fc variants of the present invention may also be optimized for enhanced functionality and/or solution properties in aglycosylated form.
  • the aglycosylated Fc variants of the present invention bind an Fc ligand with greater affinity than the aglycosylated form of the parent Fc polypeptide.
  • Said Fc ligands include but are not limited to Fc ⁇ Rs, C1q, FcRn, and proteins A and G, and may be from any source including but not limited to human, mouse, rat, rabbit, or monkey, preferably human.
  • the Fc variants are optimized to be more stable and/or more soluble than the aglycosylated form of the parent Fc polypeptide.
  • An Fc variant that is engineered or predicted to display any of the aforementioned optimized properties is herein referred to as an “optimized Fc variant”.
  • the Fc variants of the present invention may be derived from parent Fc polypeptides that are themselves from a wide range of sources.
  • the parent Fc polypeptide may be substantially encoded by one or more Fc genes from any organism, including but not limited to humans, mice, rats, rabbits, camels, llamas, dromedaries, monkeys, preferably mammals and most preferably humans and mice.
  • the parent Fc polypeptide composes an antibody, referred to as the parent antibody.
  • the parent antibody may be fully human, obtained for example using transgenic mice (Bruggemann et al., 1997, Curr Opin Biotechnol 8:455-458) or human antibody libraries coupled with selection methods (Griffiths et al., 1998, Curr Opin Biotechnol 9:102-108).
  • the parent antibody need not be naturally occurring.
  • the parent antibody may be an engineered antibody, including but not limited to chimeric antibodies and humanized antibodies (Clark, 2000, Immunol Today 21:397-402).
  • the parent antibody may be an engineered variant of an antibody that is substantially encoded by one or more natural antibody genes.
  • the parent antibody has been affinity matured, as is known in the art.
  • the antibody has been modified in some other way, for example as described in U.S. Ser. No. 10/339788, filed on Mar. 3, 2003.
  • the Fc variants of the present invention may be substantially encoded by immunoglobulin genes belonging to any of the antibody classes.
  • the Fc variants of the present invention find use in antibodies or Fc fusions that comprise sequences belonging to the IgG class of antibodies, including IgG1, IgG2, IgG3, or IgG4.
  • the Fc variants of the present invention find use in antibodies or Fc fusions that comprise sequences belonging to the IgA (including subclasses IgA1 and IgA2), IgD, IgE, IgG, or IgM classes of antibodies.
  • the Fc variants of the present invention may comprise more than one protein chain. That is, the present invention may find use in an antibody or Fc fusion that is a monomer or an oligomer, including a homo- or hetero-oligomer.
  • the Fc variants of the present invention may be combined with other Fc modifications, including but not limited to modifications that alter effector function. Such combination may provide additive, synergistic, or novel properties in antibodies or Fc fusions.
  • the Fc variants of the present invention may be combined with other known Fc variants (Duncan et al., 1988, Nature 332:563-564; Lund et al., 1991, J Immunol 147:2657-2662; Lund et al., 1992, Mol Immunol 29:53-59; Alegre et al., 1994, Transplantation 57:1537-1543; Hutchins et al., 1995, Proc Natl Acad Sci USA 92:11980-11984; Jefferis et al., 1995, Immunol Lett 44:111-117; Lund et al., 1995, Faseb J 9:115-119; Jefferis et al., 1996, Immunol Lett 54:
  • the Fc variants of the present invention are incorporated into an antibody or Fc fusion that comprises one or more engineered glycoforms.
  • engineered glycoform as used herein is meant a carbohydrate composition that is covalently attached to an Fc polypeptide, wherein said carbohydrate composition differs chemically from that of a parent Fc polypeptide.
  • Engineered glycoforms may be useful for a variety of purposes, including but not limited to enhancing or reducing effector function.
  • Engineered glycoforms may be generated by any method, for example by using engineered or variant expression strains, by co-expression with one or more enzymes, for example ⁇ 1-4-N-acetylglucosaminyltransferase III (GnTIII), by expressing an Fc polypeptide in various organisms or cell lines from various organisms, or by modifying carbohydrate(s) after the Fc polypeptide has been expressed.
  • one or more enzymes for example ⁇ 1-4-N-acetylglucosaminyltransferase III (GnTIII)
  • GnTIII ⁇ 1-4-N-acetylglucosaminyltransferase III
  • Engineered glycoform typically refers to the different carbohydrate or oligosaccharide; thus an Fc polypeptide, for example an antibody or Fc fusion, may comprise an engineered glycoform. Alternatively, engineered glycoform may refer to the Fc polypeptide that comprises the different carbohydrate or oligosaccharide.
  • the Fc variants of the present invention may find use in an antibody.
  • antibody of the present invention as used herein is meant an antibody that comprises an Fc variant of the present invention.
  • the present invention may, in fact, find use in any protein that comprises Fc, and thus application of the Fc variants of the present invention is not limited to antibodies.
  • the Fc variants of the present invention may find use in an Fc fusion.
  • Fc fusion of the present invention refers to an Fc fusion that comprises an Fc variant of the present invention.
  • Fc fusions may comprise an Fc variant of the present invention operably linked to a cytokine, soluble receptor domain, adhesion molecule, ligand, enzyme, peptide, or other protein or protein domain, and include but are not limited to Fc fusions described in U.S. Pat. No. 5,843,725; U.S. Pat. No. 6,018,026; U.S. Pat. No. 6,291,212; U.S. Pat. No. 6,291,646; U.S. Pat. No. 6,300,099; U.S. Pat. No.
  • any antigen may be targeted by the antibodies and fusions of the present invention, including but are not limited to the following list of proteins, subunits, domains, motifs, and epitopes belonging to the following list of proteins: CD2; CD3, CD3E, CD4, CD11, CD11a, CD14, CD16, CD18, CD19, CD20, CD22, CD23, CD25, CD28, CD29, CD30, CD32, CD33 (p67 protein), CD38, CD40, CD40L, CD52, CD54, CD56, CD80, CD147, GD3, IL-1, IL-1R, IL-2, IL-2R, IL-4, IL-5, IL-6, IL-6R, IL-8, IL-12, IL-15, IL-18, IL-23, interferon alpha, interferon beta, interferon gamma; TNF-alpha, TNFbeta2, TNFc, TNFalphabeta, TNF-RI, TNF-
  • targets refers not only to specific proteins and biomolecules, but the biochemical pathway or pathways that comprise them.
  • CTLA-4 as a target antigen implies that the ligands and receptors that make up the T cell co-stimulatory pathway, including CTLA-4, B7-1, B7-2, CD28, and any other undiscovered ligands or receptors that bind these proteins, are also targets.
  • target as used herein refers not only to a specific biomolecule, but the set of proteins that interact with said target and the members of the biochemical pathway to which said target belongs.
  • any of the aforementioned target antigens, the ligands or receptors that bind them, or other members of their corresponding biochemical pathway may be operably linked to the Fc variants of the present invention in order to generate an Fc fusion.
  • an Fc fusion that targets EGFR could be constructed by operably linking an Fc variant to EGF, TGF ⁇ , or any other ligand, discovered or undiscovered, that binds EGFR.
  • an Fc variant of the present invention could be operably linked to EGFR in order to generate an Fc fusion that binds EGF, TGF ⁇ , or any other ligand, discovered or undiscovered, that binds EGFR.
  • any polypeptide whether a ligand, receptor, or some other protein or protein domain, including but not limited to the aforementioned targets and the proteins that compose their corresponding biochemical pathways, may be operably linked to the Fc variants of the present invention to develop an Fc fusion.
  • a number of antibodies and Fc fusions that are approved for use, in clinical trials, or in development may benefit from the Fc variants of the present invention.
  • Said antibodies and Fc fusions are herein referred to as “clinical products and candidates”.
  • the Fc variants of the present invention may find use in a range of clinical products and candidates.
  • a number of antibodies that target CD20 may benefit from the Fc variants of the present invention.
  • the Fc variants of the present invention may find use in an antibody that is substantially similar to rituximab (Rituxan®, IDEC/Genentech/Roche) (see for example U.S. Pat. No.
  • the Fc variants of the present invention may find use in an antibody that is substantially similar to trastuzumab (Herceptin®), Genentech) (see for example U.S. Pat. No. 5,677,171), a humanized anti-Her2/neu antibody approved to treat breast cancer; pertuzumab (rhuMab-2C4, OmnitargTM), currently being developed by Genentech; an anti-Her2 antibody described in U.S. Pat. No. 4,753,894; cetuximab (Erbitux®, Imclone) (U.S. Pat. No.
  • the Fc variants of the present invention may find use in alemtuzumab (Campath®, Millenium), a humanized monoclonal antibody currently approved for treatment of B-cell chronic lymphocytic leukemia.
  • the Fc variants of the present invention may find use in a variety of antibodies or Fc fusions that are substantially similar to other clinical products and candidates, including but not limited to muromonab-CD3 (Orthoclone OKT3®)), an anti-CD3 antibody developed by Ortho Biotech/Johnson & Johnson, ibritumomab tiuxetan (Zevalin®), an anti-CD20 antibody developed by IDEC/Schering AG, gemtuzumab ozogamicin (Mylotarg®), an anti-CD33 (p67 protein) antibody developed by Celltech/Wyeth, alefacept (Amevive®)), an anti-LFA-3 Fc fusion developed by Biogen), abciximab (ReoPro®)), developed by Centocor/Lilly, basiliximab (Simulect®), developed by Novartis, palivizumab (Synagis®), developed by MedImmune, infliximab (Remicade®
  • Fc variants to the aforementioned antibody and Fc fusion clinical products and candidates is not meant to be constrained to their precise composition.
  • the Fc variants of the present invention may be incorporated into the aforementioned clinical candidates and products, or into antibodies and Fc fusions that are substantially similar to them.
  • the Fc variants of the present invention may be incorporated into versions of the aforementioned clinical candidates and products that are humanized, affinity matured, engineered, or modified in some other way.
  • the entire polypeptide of the aforementioned clinical products and candidates need not be used to construct a new antibody or Fc fusion that incorporates the Fc variants of the present invention; for example only the variable region of a clinical product or candidate antibody, a substantially similar variable region, or a humanized, affinity matured, engineered, or modified version of the variable region may be used.
  • the Fc variants of the present invention may find use in an antibody or Fc fusion that binds to the same epitope, antigen, ligand, or receptor as one of the aforementioned clinical products and candidates.
  • the Fc variants of the present invention may find use in a wide range of antibody and Fc fusion products.
  • the antibody or Fc fusion of the present invention is a therapeutic, a diagnostic, or a research reagent, preferably a therapeutic.
  • the antibodies and Fc fusions of the present invention may be used for agricultural or industrial uses.
  • the Fc variants of the present invention compose a library that may be screened experimentally. This library may be a list of nucleic acid or amino acid sequences, or may be a physical composition of nucleic acids or polypeptides that encode the library sequences.
  • the Fc variant may find use in an antibody composition that is monoclonal or polyclonal.
  • the antibodies and Fc fusions of the present invention are used to kill target cells that bear the target antigen, for example cancer cells.
  • the antibodies and Fc fusions of the present invention are used to block, antagonize, or agonize the target antigen, for example for antagonizing a cytokine or cytokine receptor.
  • the antibodies and Fc fusions of the present invention are used to block, antagonize, or agonize the target antigen and kill the target cells that bear the target antigen.
  • the Fc variants of the present invention may be used for various therapeutic purposes.
  • the Fc variant proteins are administered to a patient to treat an antibody-related disorder.
  • a “patient” for the purposes of the present invention includes both humans and other animals, preferably mammals and most preferably humans.
  • the antibodies and Fc fusions of the present invention have both human therapy and veterinary applications.
  • the patient is a mammal, and in the most preferred embodiment the patient is human.
  • treatment in the present invention is meant to include therapeutic treatment, as well as prophylactic, or suppressive measures for a disease or disorder.
  • successful administration of an antibody or Fc fusion prior to onset of the disease results in treatment of the disease.
  • successful administration of an optimized antibody or Fc fusion after clinical manifestation of the disease to combat the symptoms of the disease comprises treatment of the disease.
  • Treatment also encompasses administration of an optimized antibody or Fc fusion protein after the appearance of the disease in order to eradicate the disease.
  • Successful administration of an agent after onset and after clinical symptoms have developed, with possible abatement of clinical symptoms and perhaps amelioration of the disease comprises treatment of the disease.
  • Those “in need of treatment” include mammals already having the disease or disorder, as well as those prone to having the disease or disorder, including those in which the disease or disorder is to be prevented.
  • antibody related disorder or “antibody responsive disorder” or “condition” or “disease” herein are meant a disorder that may be ameliorated by the administration of a pharmaceutical composition comprising an antibody or Fc fusion of the present invention.
  • Antibody related disorders include but are not limited to autoimmune diseases, immunological diseases, infectious diseases, inflammatory diseases, neurological diseases, and oncological and neoplastic diseases including cancer.
  • cancer and “cancerous” herein refer to or describe the physiological condition in mammals that is typically characterized by unregulated cell growth.
  • cancers include but are not limited to carcinoma, lymphoma, blastoma, sarcoma (including liposarcoma), neuroendocrine tumors, mesothelioma, schwanoma, meningioma, adenocarcinoma, melanoma, and leukemia or lymphoid malignancies. More particular examples of such cancers include squamous cell cancer (e.g.
  • lung cancer including small-cell lung cancer, non-small cell lung cancer, adenocarcinoma of the lung and squamous carcinoma of the lung, cancer of the peritoneum, hepatocellular cancer, gastric or stomach cancer including gastrointestinal cancer, pancreatic cancer, glioblastoma, cervical cancer, ovarian cancer, liver cancer, bladder cancer, hepatoma, breast cancer, colon cancer, rectal cancer, colorectal cancer, endometrial or uterine carcinoma, salivary gland carcinoma, kidney or renal cancer, prostate cancer, vulval cancer, thyroid cancer, hepatic carcinoma, anal carcinoma, penile carcinoma, testicular cancer, esophagael cancer, tumors of the biliary tract, as well as head and neck cancer.
  • lung cancer including small-cell lung cancer, non-small cell lung cancer, adenocarcinoma of the lung and squamous carcinoma of the lung, cancer of the peritoneum, hepatocellular cancer, gastric or stomach cancer including gastrointestinal cancer,
  • the Fc variants of the present invention may be used to treat conditions including but not limited to congestive heart failure (CHF), vasculitis, rosecea, acne, eczema, myocarditis and other conditions of the myocardium, systemic lupus erythematosus, diabetes, spondylopathies, synovial fibroblasts, and bone marrow stroma; bone loss; Paget's disease, osteoclastoma; multiple myeloma; breast cancer; disuse osteopenia; malnutrition, periodontal disease, Gaucher's disease, Langerhans' cell histiocytosis, spinal cord injury, acute septic arthritis, osteomalacia, Cushing's syndrome, monoostotic fibrous dysplasia, polyostotic fibrous dysplasia, periodontal reconstruction, and bone fractures; sarcoidosis; multiple myeloma; osteolytic bone cancers, breast cancer, lung cancer, kidney cancer and rectal cancer; bone metastas
  • an antibody or Fc fusion of the present invention is administered to a patient having a disease involving inappropriate expression of a protein.
  • this is meant to include diseases and disorders characterized by aberrant proteins, due for example to alterations in the amount of a protein present, the presence of a mutant protein, or both.
  • An overabundance may be due to any cause, including but not limited to overexpression at the molecular level, prolonged or accumulated appearance at the site of action, or increased activity of a protein relative to normal. Included within this definition are diseases and disorders characterized by a reduction of a protein.
  • This reduction may be due to any cause, including but not limited to reduced expression at the molecular level, shortened or reduced appearance at the site of action, mutant forms of a protein, or decreased activity of a protein relative to normal.
  • Such an overabundance or reduction of a protein can be measured relative to normal expression, appearance, or activity of a protein, and said measurement may play an important role in the development and/or clinical testing of the antibodies and Fc fusions of the present invention.
  • an antibody or Fc fusion of the present invention is the only therapeutically active agent administered to a patient.
  • the antibody or Fc fusion of the present invention is administered in combination with one or more other therapeutic agents, including but not limited to cytotoxic agents, chemotherapeutic agents, cytokines, growth inhibitory agents, anti-hormonal agents, kinase inhibitors, anti-angiogenic agents, cardioprotectants, or other therapeutic agents.
  • Such molecules are suitably present in combination in amounts that are effective for the purpose intended.
  • the skilled medical practitioner can determine empirically the appropriate dose or doses of other therapeutic agents useful herein.
  • the antibodies and Fc fusions of the present invention may be administered concomitantly with one or more other therapeutic regimens.
  • an antibody or Fc fusion of the present invention may be administered to the patient along with chemotherapy, radiation therapy, or both chemotherapy and radiation therapy.
  • the antibody or Fc fusion of the present invention may be administered in conjunction with one or more antibodies or Fc fusions, which may or may not comprise an Fc variant of the present invention.
  • the antibodies and Fc fusions of the present invention are administered with a chemotherapeutic agent.
  • chemotherapeutic agent as used herein is meant a chemical compound useful in the treatment of cancer.
  • examples of chemotherapeutic agents include but are not limited to alkylating agents such as thiotepa and cyclosphosphamide (CYTOXANTM); alkyl sulfonates such as busulfan, improsulfan and piposulfan; aziridines such as benzodopa, carboquone, meturedopa, and uredopa; ethylenimines and methylamelamines including altretamine, triethylenemelamine, trietylenephosphoramide, triethylenethiophosphaoramide and trimethylolomelamine; nitrogen mustards such as chlorambucil, chlornaphazine, cholophosphamide, estramustine, ifosfamide, mechlore
  • paclitaxel (TAXOL®), Bristol-Myers Squibb Oncology, Princeton, N.J.) and docetaxel (TAXOTERE®, Rhne-Poulenc Rorer, Antony, France); chlorambucil; gemcitabine; 6-thioguanine; mercaptopurine; methotrexate; platinum analogs such as cisplatin and carboplatin; vinblastine; platinum; etoposide (VP-16); ifosfamide; mitomycin C; mitoxantrone; vincristine; vinorelbine; navelbine; novantrone; teniposide; daunomycin; aminopterin; xeloda; ibandronate; CPT-11; topoisomerase inhibitor RFS 2000; difluoromethylornithine (DMFO); retinoic acid; esperamicins; capecitabine; thymidylate synthase inhibitor (such as Tomudex);
  • anti-hormonal agents that act to regulate or inhibit hormone action on tumors
  • anti estrogens including for example tamoxifen, raloxifene, aromatase inhibiting 4(5)-imidazoles, 4-hydroxytamoxifen, trioxifene, keoxifene, LY 117018, onapristone, and toremifene (Fareston); and anti-androgens such as flutamide, nilutamide, bicalutamide, leuprolide, and goserelin; and pharmaceutically acceptable salts, acids or derivatives of any of the above.
  • a chemotherapeutic or other cytotoxic agent may be administered as a prodrug.
  • prodrug as used herein is meant a precursor or derivative form of a pharmaceutically active substance that is less cytotoxic to tumor cells compared to the parent drug and is capable of being enzymatically activated or converted into the more active parent form. See, for example Wilman, 1986, Biochemical Society Transactions, 615th Meeting Harbor, 14:375-382; and Stella et al., “Prodrugs: A Chemical Approach to Targeted Drug Delivery,” Directed Drug Delivery, Borchardt et al., (ed.): 247-267, Humana Press, 1985.
  • the prodrugs that may find use with the present invention include but are not limited to phosphate-containing prodrugs, thiophosphate-containing prodrugs, sulfate-containing prodrugs, peptide-containing prodrugs, D-amino acid-modified prodrugs, glycosylated prodrugs, beta-lactam-containing prodrugs, optionally substituted phenoxyacetamide-containing prodrugs or optionally substituted phenylacetamide-containing prodrugs, 5-fluorocytosine and other 5-fluorouridine prodrugs which can be converted into the more active cytotoxic free drug.
  • cytotoxic drugs that can be derivatized into a prodrug form for use with the antibodies and Fc fusions of the present invention include but are not limited to any of the aforementioned chemotherapeutic agents.
  • the antibodies and Fc fusions of the present invention may be combined with other therapeutic regimens.
  • the patient to be treated with the antibody or Fc fusion may also receive radiation therapy.
  • Radiation therapy can be administered according to protocols commonly employed in the art and known to the skilled artisan. Such therapy includes but is not limited to cesium, iridium, iodine, or cobalt radiation.
  • the radiation therapy may be whole body irradiation, or may be directed locally to a specific site or tissue in or on the body, such as the lung, bladder, or prostate.
  • radiation therapy is administered in pulses over a period of time from about 1 to 2 weeks. The radiation therapy may, however, be administered over longer periods of time.
  • radiation therapy may be administered to patients having head and neck cancer for about 6 to about 7 weeks.
  • the radiation therapy may be administered as a single dose or as multiple, sequential doses.
  • the skilled medical practitioner can determine empirically the appropriate dose or doses of radiation therapy useful herein.
  • the antibody or Fc fusion of the present invention and one or more other anti-cancer therapies are employed to treat cancer cells ex vivo. It is contemplated that such ex vivo treatment may be useful in bone marrow transplantation and particularly, autologous bone marrow transplantation.
  • treatment of cells or tissue(s) containing cancer cells with antibody or Fc fusion and one or more other anti-cancer therapies, such as described above, can be employed to deplete or substantially deplete the cancer cells prior to transplantation in a recipient patient.
  • the antibodies and Fc fusions of the invention can be employed in combination with still other therapeutic techniques such as surgery.
  • the antibodies and Fc fusions of the present invention are administered with a cytokine.
  • cytokine as used herein is meant a generic term for proteins released by one cell population that act on another cell as intercellular mediators. Examples of such cytokines are lymphokines, monokines, and traditional polypeptide hormones.
  • cytokines include growth hormone such as human growth hormone, N-methionyl human growth hormone, and bovine growth hormone; parathyroid hormone; thyroxine; insulin; proinsulin; relaxin; prorelaxin; glycoprotein hormones such as follicle stimulating hormone (FSH), thyroid stimulating hormone (TSH), and luteinizing hormone (LH); hepatic growth factor; fibroblast growth factor; prolactin; placental lactogen; tumor necrosis factor-alpha and -beta; mullerian-inhibiting substance; mouse gonadotropin-associated peptide; inhibin; activin; vascular endothelial growth factor; integrin; thrombopoietin (TPO); nerve growth factors such as NGF-beta; platelet-growth factor; transforming growth factors (TGFs) such as TGF-alpha and TGF-beta; insulin-like growth factor-I and -II; erythropoietin (EPO
  • the antibody or Fc fusion is administered with an anti-angiogenic agent.
  • anti-angiogenic agent as used herein is meant a compound that blocks, or interferes to some degree, the development of blood vessels.
  • the anti-angiogenic factor may, for instance, be a small molecule or a protein, for example an antibody, Fc fusion, or cytokine, that binds to a growth factor or growth factor receptor involved in promoting angiogenesis.
  • the preferred anti-angiogenic factor herein is an antibody that binds to Vascular Endothelial Growth Factor (VEGF).
  • VEGF Vascular Endothelial Growth Factor
  • the antibody or Fc fusion is administered with a therapeutic agent that induces or enhances adaptive immune response, for example an antibody that targets CTLA-4.
  • the antibody or Fc fusion is administered with a tyrosine kinase inhibitor.
  • tyrosine kinase inhibitor as used herein is meant a molecule that inhibits to some extent tyrosine kinase activity of a tyrosine kinase.
  • inhibitors include but are not limited to quinazolines, such as PD 153035, 4-(3-chloroanilino) quinazoline; pyridopyrimidines; pyrimidopyrimidines; pyrrolopyrimidines, such as CGP 59326, CGP 60261 and CGP 62706; pyrazolopyrimidines, 4-(phenylamino)-7H-pyrrolo(2,3-d) pyrimidines; curcumin (diferuloyl methane, 4,5-bis (4-fluoroanilino)phthalimide); tyrphostines containing nitrothiophene moieties; PD-0183805 (Warner-Lambert); antisense molecules (e.g.
  • the antibody or Fc fusion of the present invention is conjugated or operably linked to another therapeutic compound.
  • the therapeutic compound may be a cytotoxic agent, a chemotherapeutic agent, a toxin, a radioisotope, a cytokine, or other therapeutically active agent.
  • Conjugates of the antibody or Fc fusion and cytotoxic agent may be made using a variety of bifunctional protein coupling agents such as N-succinimidyl-3-(2-pyridyldithiol) propionate (SPDP), succinimidyl-4-(N-maleimidomethyl) cyclohexane-1-carboxylate, iminothiolane (IT), bifunctional derivatives of imidoesters (such as dimethyl adipimidate HCL), active esters (such as disuccinimidyl suberate), aldehydes (such as glutareldehyde), bis-azido compounds (such as bis (p-azidobenzoyl) hexanediamine), bis-diazonium derivatives (such as bis-(p-diazoniumbenzoyl)-ethylenediamine), diisocyanates (such as tolyene 2,6-diisocyanate), and bis-active fluorine compounds (such
  • a ricin immunotoxin can be prepared as described in Vitetta et al., 1971, Science 238:1098.
  • Carbon-14-labeled 1-isothiocyanatobenzyl-3-methyldiethylene triaminepentaacetic acid (MX-DTPA) is an exemplary chelating agent for conjugation of radionucleotide to the antibody. See PCT WO 94/11026.
  • the linker may be a cleavable linker facilitating release of the cytotoxic drug in the cell.
  • an acid-labile linker, peptidase-sensitive linker, dimethyl linker or disulfide-containing linker (Chari et al., 1992, Cancer Research 52: 127-131) may be used.
  • the antibody or Fc fusion is operably linked to the therapeutic agent, e.g. by recombinant techniques or peptide synthesis.
  • the antibody or Fc fusion is conjugated or operably linked to a toxin, including but not limited to small molecule toxins and enzymatically active toxins of bacterial, fungal, plant or animal origin, including fragments and/or variants thereof.
  • Small molecule toxins include but are not limited to calicheamicin, maytansine (U.S. Pat. No. 5,208,020), trichothene, and CC1065.
  • the antibody or Fc fusion is conjugated to one or more maytansine molecules (e.g.
  • Maytansine may, for example, be converted to May-SS-Me which may be reduced to May-SH3 and reacted with modified antibody or Fc fusion (Chari et al., 1992, Cancer Research 52: 127-131) to generate a maytansinoid-antibody or maytansinoid-Fc fusion conjugate.
  • Another conjugate of interest comprises an antibody or Fc fusion conjugated to one or more calicheamicin molecules.
  • the calicheamicin family of antibiotics are capable of producing double-stranded DNA breaks at sub-picomolar concentrations.
  • Structural analogues of calicheamicin that may be used include but are not limited to ⁇ 1 1 , ⁇ 2 1 , ⁇ 3 , N-acetyl- ⁇ 1 1 , PSAG, and ⁇ 1 1 , (Hinman et al., 1993, Cancer Research 53:3336-3342; Lode et al., 1998, Cancer Research 58:2925-2928) (U.S. Pat. No. 5,714,586; U.S. Pat. No. 5,712,374; U.S. Pat. No. 5,264,586; U.S. Pat. No. 5,773,001).
  • Dolastatin 10 analogs such as auristatin E (AE) and monomethylauristatin E (MMAE) may find use as conjugates for the Fc variants of the present invention (Doronina et al., 2003, Nat Biotechnol 21(7):778-84; Francisco et al.., 2003 Blood 102(4):1458-65).
  • AE auristatin E
  • MMAE monomethylauristatin E
  • Useful enyzmatically active toxins include but are not limited to diphtheria A chain, nonbinding active fragments of diphtheria toxin, exotoxin A chain (from Pseudomonas aeruginosa ), ricin A chain, abrin A chain, modeccin A chain, alpha-sarcin, Aleurites fordii proteins, dianthin proteins, Phytolaca americana proteins (PAPI, PAPII, and PAP-S), momordica charantia inhibitor, curcin, crotin, sapaonaria officinalis inhibitor, gelonin, mitogellin, restrictocin, phenomycin, enomycin and the tricothecenes.
  • the present invention further contemplates a conjugate or fusion formed between an antibody or Fc fusion of the present invention and a compound with nucleolytic activity, for example a ribonuclease or DNA endonuclease such as a deoxyribonuclease (DNase).
  • a compound with nucleolytic activity for example a ribonuclease or DNA endonuclease such as a deoxyribonuclease (DNase).
  • DNase deoxyribonuclease
  • an antibody or Fc fusion of the present invention may be conjugated or operably linked to a radioisotope to form a radioconjugate.
  • a radioactive isotope are available for the production of radioconjugate antibodies and Fc fusions. Examples include, but are not limited to, At 211 , I 131 , I 125 , Y 90 , Re 186 , Re 188 , Sm 153 , Bi 212 , P 32 , and radioactive isotopes of Lu.
  • an antibody or Fc fusion of the present invention may be conjugated to a “receptor” (such streptavidin) for utilization in tumor pretargeting wherein the antibody-receptor or Fc fusion-receptor conjugate is administered to the patient, followed by removal of unbound conjugate from the circulation using a clearing agent and then administration of a “ligand” (e.g. avidin) which is conjugated to a cytotoxic agent (e.g. a radionucleotide).
  • a “ligand” e.g. avidin
  • a cytotoxic agent e.g. a radionucleotide
  • the antibody or Fc fusion is conjugated or operably linked to an enzyme in order to employ Antibody Dependent Enzyme Mediated Prodrug Therapy (ADEPT).
  • ADPT Antibody Dependent Enzyme Mediated Prodrug Therapy
  • ADEPT may be used by conjugating or operably linking the antibody or Fc fusion to a prodrug-activating enzyme that converts a prodrug (e.g. a peptidyl chemotherapeutic agent, see PCT WO 81/01145) to an active anti-cancer drug.
  • a prodrug e.g. a peptidyl chemotherapeutic agent, see PCT WO 81/01145
  • the enzyme component of the immunoconjugate useful for ADEPT includes any enzyme capable of acting on a prodrug in such a way so as to covert it into its more active, cytotoxic form.
  • Enzymes that are useful in the method of this invention include but are not limited to alkaline phosphatase useful for converting phosphate-containing prodrugs into free drugs; arylsulfatase useful for converting sulfate-containing prodrugs into free drugs; cytosine deaminase useful for converting non-toxic 5-fluorocytosine into the anti-cancer drug, 5-fluorouracil; proteases, such as serratia protease, thermolysin, subtilisin, carboxypeptidases and cathepsins (such as cathepsins B and L), that are useful for converting peptide-containing prodrugs into free drugs; D-alanylcarboxypeptidases, useful for converting prodrugs that contain D-amino acid substituents; carbohydrate-cleaving enzymes such as .beta.-galactosidase and neuramimidase useful for converting glycosylated prodrugs into free drugs; beta-
  • antibodies with enzymatic activity can be used to convert the prodrugs of the invention into free active drugs (see, for example, Massey, 1987, Nature 328: 457-458).
  • Antibody-abzyme and Fc fusion-abzyme conjugates can be prepared for delivery of the abzyme to a tumor cell population.
  • Other modifications of the antibodies and Fc fusions of the present invention are contemplated herein.
  • the antibody or Fc fusion may be linked to one of a variety of nonproteinaceous polymers, e.g., polyethylene glycol, polypropylene glycol, polyoxyalkylenes, or copolymers of polyethylene glycol and polypropylene glycol.
  • compositions are contemplated wherein an antibody or Fc fusion of the present invention and and one or more therapeutically active agents are formulated.
  • Formulations of the antibodies and Fc fusions of the present invention are prepared for storage by mixing said antibody or Fc fusion having the desired degree of purity with optional pharmaceutically acceptable carriers, excipients or stabilizers (Remington's Pharmaceutical Sciences 16th edition, Osol, A. Ed.,1980), in the form of lyophilized formulations or aqueous solutions.
  • Acceptable carriers, excipients, or stabilizers are nontoxic to recipients at the dosages and concentrations employed, and include buffers such as phosphate, citrate, acetate, and other organic acids; antioxidants including ascorbic acid and methionine; preservatives (such as octadecyidimethylbenzyl ammonium chloride; hexamethonium chloride; benzalkonium chloride, benzethonium chloride; phenol, butyl orbenzyl alcohol; alkyl parabens such as methyl or propyl paraben; catechol; resorcinol; cyclohexanol; 3-pentanol; and m-cresol); low molecular weight (less than about 10 residues) polypeptides; proteins, such as serum albumin, gelatin, or immunoglobulins; hydrophilic polymers such as polyvinylpyrrolidone; amino acids such as glycine, glutamine, asparagine, hist
  • the pharmaceutical composition that comprises the antibody or Fc fusion of the present invention is in a water-soluble form, such as being present as pharmaceutically acceptable salts, which is meant to include both acid and base addition salts.
  • “Pharmaceutically acceptable acid addition salt” refers to those salts that retain the biological effectiveness of the free bases and that are not biologically or otherwise undesirable, formed with inorganic acids such as hydrochloric acid, hydrobromic acid, sulfuric acid, nitric acid, phosphoric acid and the like, and organic acids such as acetic acid, propionic acid, glycolic acid, pyruvic acid, oxalic acid, maleic acid, malonic acid, succinic acid, fumaric acid, tartaric acid, citric acid, benzoic acid, cinnamic acid, mandelic acid, methanesulfonic acid, ethanesulfonic acid, p-toluenesulfonic acid, salicylic acid and the like.
  • inorganic acids such as hydrochloric acid, hydrobromic acid, sulfuric acid, nitric acid, phosphoric acid and the like
  • organic acids such as acetic acid, propionic acid, glycolic acid, pyruvic acid,
  • “Pharmaceutically acceptable base addition salts” include those derived from inorganic bases such as sodium, potassium, lithium, ammonium, calcium, magnesium, iron, zinc, copper, manganese, aluminum salts and the like. Particularly preferred are the ammonium, potassium, sodium, calcium, and magnesium salts.
  • Salts derived from pharmaceutically acceptable organic non-toxic bases include salts of primary, secondary, and tertiary amines, substituted amines including naturally occurring substituted amines, cyclic amines and basic ion exchange resins, such as isopropylamine, trimethylamine, diethylamine, triethylamine, tripropylamine, and ethanolamine.
  • the formulations to be used for in vivo administration are preferrably sterile. This is readily accomplished by filtration through sterile filtration membranes or other methods.
  • the antibodies and Fc fusions disclosed herein may also be formulated as immunoliposomes.
  • a liposome is a small vesicle comprising various types of lipids, phospholipids and/or surfactant that is useful for delivery of a therapeutic agent to a mammal.
  • Liposomes containing the antibody or Fc fusion are prepared by methods known in the art, such as described in Epstein et al., 1985, Proc Natl Acad Sci USA, 82:3688; Hwang et al., 1980, Proc Natl Acad Sci USA, 77:4030; U.S. Pat. No. 4,485,045; U.S. Pat. No. 4,544,545; and PCT WO 97/38731.
  • Liposomes with enhanced circulation time are disclosed in U.S. Pat. No. 5,013,556.
  • the components of the liposome are commonly arranged in a bilayer formation, similar to the lipid arrangement of biological membranes.
  • Particularly useful liposomes can be generated by the reverse phase evaporation method with a lipid composition comprising phosphatidylcholine, cholesterol and PEG-derivatized phosphatidylethanolamine (PEG-PE). Liposomes are extruded through filters of defined pore size to yield liposomes with the desired diameter.
  • a chemotherapeutic agent or other therapeutically active agent is optionally contained within the liposome (Gabizon et al., 1989, J National Cancer Inst 81:1484).
  • the antibodies, Fc fusions, and other therapeutically active agents may also be entrapped in microcapsules prepared by methods including but not limited to coacervation techniques, interfacial polymerization (for example using hydroxymethylcellulose or gelatin-microcapsules, or poly-(methylmethacylate) microcapsules), colloidal drug delivery systems (for example, liposomes, albumin microspheres, microemulsions, nano-particles and nanocapsules), and macroemulsions.
  • coacervation techniques for example using hydroxymethylcellulose or gelatin-microcapsules, or poly-(methylmethacylate) microcapsules
  • colloidal drug delivery systems for example, liposomes, albumin microspheres, microemulsions, nano-particles and nanocapsules
  • macroemulsions for example, liposomes, albumin microspheres, microemulsions, nano-particles and nanocapsules
  • Sustained-release preparations may be prepared.
  • sustained-release preparations include semipermeable matrices of solid hydrophobic polymer, which matrices are in the form of shaped articles, e.g. films, or microcapsules.
  • sustained-release matrices include polyesters, hydrogels (for example poly(2-hydroxyethyl-methacrylate), or poly(vinylalcohol)), polylactides (U.S. Pat. No.
  • copolymers of L-glutamic acid and gamma ethyl-L-glutamate non-degradable ethylene-vinyl acetate
  • degradable lactic acid-glycolic acid copolymers such as the LUPRON DEPOTTM (which are injectable microspheres composed of lactic acid-glycolic acid copolymer and leuprolide acetate), poly-D-( ⁇ )-3-hydroxybutyric acid, and ProLease® (commercially available from Alkermes), which is a microsphere-based delivery system composed of the desired bioactive molecule incorporated into a matrix of poly-DL-lactide-co-glycolide (PLG).
  • LUPRON DEPOTTM injectable microspheres composed of lactic acid-glycolic acid copolymer and leuprolide acetate
  • ProLease® commercially available from Alkermes
  • the concentration of the therapeutically active antibody or Fc fusion of the present invention in the formulation may vary from about 0.1 to 100 weight %. In a preferred embodiment, the concentration of the antibody or Fc fusion is in the range of 0.003 to 1.0 molar.
  • a therapeutically effective dose of the antibody or Fc fusion of the present invention may be administered.
  • therapeutically effective dose herein is meant a dose that produces the effects for which it is administered. The exact dose will depend on the purpose of the treatment, and will be ascertainable by one skilled in the art using known techniques.
  • Dosages may range from 0.01 to 100 mg/kg of body weight or greater, for example 0.1, 1, 10, or 50 mg/kg of body weight, with 1 to 10 mg/kg being preferred.
  • adjustments for antibody or Fc fusion degradation, systemic versus localized delivery, and rate of new protease synthesis, as well as the age, body weight, general health, sex, diet, time of administration, drug interaction and the severity of the condition may be necessary, and will be ascertainable with routine experimentation by those skilled in the art.
  • Administration of the pharmaceutical composition comprising an antibody or Fc fusion of the present invention may be done in a variety of ways, including, but not limited to, orally, subcutaneously, intravenously, intranasally, intraotically, transdermally, topically (e.g., gels, salves, lotions, creams, etc.), intraperitoneally, intramuscularly, intrapulmonary (e.g., AERx®) inhalable technology commercially available from Aradigm, or InhanceTM pulmonary delivery system commercially available from Inhale Therapeutics), vaginally, parenterally, rectally, or intraocularly.
  • the antibody or Fc fusion may be directly applied as a solution or spray.
  • the pharmaceutical composition may be formulated accordingly depending upon the manner of introduction.
  • the present invention provides engineering methods that may be used to generate Fc variants.
  • a principal obstacle that has hindered previous attempts at Fc engineering is that only random attempts at modification have been possible, due in part to the inefficiency of engineering strategies and methods, and to the low-throughput nature of antibody production and screening.
  • the present invention describes engineering methods that overcome these shortcomings.
  • a variety of design strategies, computational screening methods, library generation methods, and experimental production and screening methods are contemplated. These strategies, approaches, techniques, and methods may be applied individually or in various combinations to engineer optimized Fc variants.
  • the most efficient approach to generating Fc variants that are optimized for a desired property is to direct the engineering efforts toward that goal. Accordingly, the present invention teaches design strategies that may be used to engineer optimized Fc variants.
  • the use of a design strategy is meant to guide Fc engineering, but is not meant to constrain an Fc variant to a particular optimized property based on the design strategy that was used to engineer it. At first thought this may seem counterintuitive; however its validity is derived from the enormous complexity of subtle interactions that determine the structure, stability, solubility, and function of proteins and protein-protein complexes. Although efforts can be made to predict which protein positions, residues, interactions, etc. are important for a design goal, often times critical ones are not predictable.
  • Fc ligands herein may include but are not limited to Fc ⁇ Rs, C1q, FcRn, protein A or G, and the like.
  • variable positions may be chosen as any positions that are believed to play an important role in determining the conformation of the interface.
  • variable positions may be chosen as the set of residues that are within a certain distance, for example 5 Angstroms ( ⁇ ), preferrably between 1 and 10 ⁇ , of any residue that makes direct contact with the Fc ligand.
  • An additional design strategy for generating Fc variants is provided in which the conformation of the Fc carbohydrate at N297 is optimized. Optimization as used in this context is meant to includes conformational and compositional changes in the N297 carbohydrate that result in a desired property, for example increased or reduced affinity for an Fc ⁇ R.
  • Another design strategy for generating Fc variants is provided in which the angle between the C ⁇ 2 and C ⁇ 3 domains is optimized Optimization as used in this context is meant to describe conformational changes in the C ⁇ 2-C ⁇ 3 domain angle that result in a desired property, for example increased or reduced affinity for an Fc ⁇ R.
  • This angle is an important determinant of Fc/Fc ⁇ R affinity (Radaev et al., 2001, J Biol Chem 276:16478-16483), and a number of mutations distal to the Fc/Fc ⁇ R interface affect binding potentially by modulating it (Shields et al., 2001, J Biol Chem 276:6591-6604).
  • Fc is reengineered to eliminate the structural and functional dependence on glycosylation.
  • This design strategy involves the optimization of Fc structure, stability, solubility, and/or Fc function (for example affinity of Fc for one or more Fc ligands) in the absence of the N297 carbohydrate.
  • positions that are exposed to solvent in the absence of glycosylation are engineered such that they are stable, structurally consistent with Fc structure, and have no tendency to aggregate.
  • the C ⁇ 2 is the only unpaired Ig domain in the antibody (see FIG. 1).
  • N297 carbohydrate covers up the exposed hydrophobic patch that would normally be the interface for a protein-protein interaction with another Ig domain, maintaining the stability and structural integrity of Fc and keeping the C ⁇ 2 domains from aggregating across the central axis.
  • Approaches for optimizing aglycosylated Fc may involve but are not limited to designing amino acid modifications that enhance aglycoslated Fc stability and/or solubility by incorporating polar and/or charged residues that face inward towards the C ⁇ 2-C ⁇ 2 dimer axis, and by designing amino acid modifications that directly enhance the aglycosylated Fc/Fc ⁇ R interface or the interface of aglycosylated Fc with some other Fc ligand.
  • C ⁇ 2 hydrophobic core residues that is C ⁇ 2 residues that are partially or fully sequestered from solvent, may be reengineered.
  • noncore residues may be considered, or residues that are deemed important for determining backbone structure, stability, or flexibility.
  • An additional design strategy for Fc optimization is provided in which binding to an Fc ⁇ R, complement, or some other Fc ligand is altered by modifications that modulate the electrostatic interaction between Fc and said Fc ligand.
  • modifications may be thought of as optimization of the global electrostatic character of Fc, and include replacement of neutral amino acids with a charged amino acid, replacement of a charged amino acid with a neutral amino acid, or replacement of a charged amino acid with an amino acid of opposite charge (i.e. charge reversal).
  • Such modifications may be used to effect changes in binding affinity between an Fc and one or more Fc ligands, for example Fc ⁇ Rs.
  • positions at which electrostatic substitutions might affect binding are selected using one of a variety of well known methods for calculation of electrostatic potentials.
  • Coulomb's law is used to generate electrostatic potentials as a function of the position in the protein.
  • Additional embodiments include the use of Debye-Huckel scaling to account for ionic strength effects, and more sophisticated embodiments such as Poisson-Boltzmann calculations.
  • Such electrostatic calculations may highlight positions and suggest specific amino acid modifications to achieve the design goal. In some cases, these substitutions may be anticipated to variably affect binding to different Fc ligands, for example to enhance binding to activating Fc ⁇ Rs while decreasing binding affinity to inhibitory Fc ⁇ Rs.
  • a principal obstacle to obtaining valuable Fc variants is the difficulty in predicting what amino acid modifications, out of the enormous number of possibilities, will achieve the desired goals. Indeed one of the principle reasons that previous attempts at Fc engineering have failed to produce Fc variants of significant clinical value is that approaches to Fc engineering have thus far involved hit-or-miss approaches.
  • the present invention provides computational screening methods that enable quantitative and systematic engineering of Fc variants. These methods typically use atomic level scoring functions, side chain rotamer sampling, and advanced optimization methods to accurately capture the relationships between protein sequence, structure, and function. Computational screening enables exploration of the entire sequence space of possibilities at target positions by filtering the enormous diversity which results.
  • Variant libraries that are screened computationally are effectively enriched for stable, properly folded, and functional sequences, allowing active optimization of Fc for a desired goal. Because of the overlapping sequence constraints on protein structure, stability, solubility, and function, a large number of the candidates in a library occupy “wasted” sequence space. For example, a large fraction of sequence space encodes unfolded, misfolded, incompletely folded, partially folded, or aggregated proteins.
  • Computational screening enables the generation of libraries that are composed primarily of productive sequence space, and as a result increases the chances of identifying proteins that are optimized for the design goal. In effect, computational screening yields an increased hit-rate, thereby decreasing the number of variants that must be screened experimentally.
  • An additional obstacle to Fc engineering is the need for active design of correlated or coupled mutations. For example, the greatest Fc/Fc ⁇ R affinity enhancement observed thus far is S298A/E333A/K334A, obtained by combining three better binders obtained separately in an alanine scan (Shields et al., 2001, J Biol Chem 276:6591-6604).
  • Computational screening is capable of generating such a three-fold variant in one experiment instead of three separate ones, and furthermore is able to test the functionality of all 20 amino acids at those positions instead of just alanine.
  • Computational screening deals with such complexity by reducing the combinatorial problem to an experimentally tractable size.
  • Computational screening viewed broadly, has four steps: 1) selection and preparation of the protein template structure or structures, 2) selection of variable positions, amino acids to be considered at those positions, and/or selection of rotamers to model considered amino acids, 3) energy calculation, and 4) combinatorial optimization.
  • the process of computational screening can be described as follows. A three-dimensional structure of a protein is used as the starting point. The positions to be optimized are identified, which may be the entire protein sequence or subset(s) thereof. Amino acids that will be considered at each position are selected. In a preferred embodiment, each considered amino acid may be represented by a discrete set of allowed conformations, called rotamers.
  • Interaction energies are calculated between each considered amino acid and each other considered amino acid, and the rest of the protein, including the protein backbone and invariable residues.
  • interaction energies are calculated between each considered amino acid side chain rotamer and each other considered amino acid side chain rotamer and the rest of the protein, including the protein backbone and invariable residues.
  • One or more combinatorial search algorithms are then used to identify the lowest energy sequence and/or low energy sequences.
  • the computational screening method used is substantially similar to Protein Design Automation® (PDA®)) technology, as is described in U.S. Pat. No. 6,188,965; U.S. Pat. No. 6,269,312; U.S. Pat. No. 6,403,312; U.S. Ser. No. 09/782,004; U.S. Ser. No. 09/927,790; U.S. Ser. No. 10/218,102; PCTWO 98/07254; PCT WO 01/40091; and PCT WO 02/25588.
  • PDA® Protein Design Automation®
  • a computational screening method substantially similar to Sequence Prediction AlgorithmTM (SPATM) technology is used, as is described in (Raha et al., 2000, Protein Sci 9:1106-1119), U.S. Ser. No. 09/877,695, and U.S. Ser. No. 10/071,859.
  • the computational screening methods described in U.S. Ser. No. 10/339788, filed on Mar. 3, 2003, entitled “ANTIBODY OPTIMIZATION”, are used.
  • combinations of different computational screening methods are used, including combinations of PDA® technology and SPATM technology, as well as combinations of these computational methods in combination with other design tools. Similarly, these computational methods can be used simultaneously or sequentially, in any order.
  • a template structure is used as input into the computational screening calculations.
  • template structure herein is meant the structural coordinates of part or all of a protein to be optimized.
  • the template structure may be any protein for which a three dimensional structure (that is, three dimensional coordinates for a set of the protein's atoms) is known or may be calculated, estimated, modeled, generated, or determined.
  • the three dimensional structures of proteins may be determined using methods including but not limited to X-ray crystallographic techniques, nuclear magnetic resonance (NMR) techniques, de novo modeling, and homology modeling. If optimization is desired for a protein for which the structure has not been solved experimentally, a suitable structural model may be generated that may serve as the template for computational screening calculations.
  • Protein/protein complexes may also be obtained using docking methods.
  • Suitable protein structures that may serve as template structures include, but are not limited to, all of those found in the Protein Data Base compiled and serviced by the Research Collaboratory for Structural Bioinformatics (RCSB, formerly the Brookhaven National Lab).
  • the template structure may be of a protein that occurs naturally or is engineered.
  • the template structure may be of a protein that is substantially encoded by a protein from any organism, with human, mouse, rat, rabbit, and monkey preferred.
  • the template structure may comprise any of a number of protein structural forms.
  • the template structure comprises an Fc region or a domain or fragment of Fc.
  • the template structure comprises Fc or a domain or fragment of Fc bound to one or more Fc ligands, with an Fc/Fc ⁇ R complex being preferred.
  • the Fc in the template structure may be glycosylated or unglycosylated.
  • the template structure may comprise more than one protein chain.
  • the template structure may additionally contain nonprotein components, including but not limited to small molecules, substrates, cofactors, metals, water molecules, prosthetic groups, polymers and carbohydrates.
  • the template structure is a plurality or set of template proteins, for example an ensemble of structures such as those obtained from NMR.
  • the set of template structures is generated from a set of related proteins or structures, or artificially created ensembles.
  • the composition and source of the template structure depends on the engineering goal. For example, for enhancement of human Fc/Fc ⁇ R affinity, a human Fc/Fc ⁇ R complex structure or derivative thereof may be used as the template structure. Alternatively, the uncomplexed Fc structure may be used as the template structure. If the goal is to enhance affinity of a human Fc for a mouse Fc ⁇ R, the template structure may be a structure or model of a human Fc bound to a mouse Fc ⁇ R.
  • the template structure may be modified or altered prior to design calculations.
  • a variety of methods for template structure preparation are described in U.S. Pat. No. 6,188,965; U.S. Pat. No. 6,269,312; U.S. Pat. No. 6,403,312; U.S. Ser. No. 09/782,004; U.S. Ser. No. 09/927,790; U.S. Ser. No. 09/877,695; U.S. Ser. No. 10/071,859, U.S. Ser. No. 10/218,102; PCT WO 98/07254; PCT WO 01/40091; and PCT WO 02/25588.
  • explicit hydrogens may be added if not included within the structure.
  • energy minimization of the structure is run to relax strain, including strain due to van der Waals clashes, unfavorable bond angles, and unfavorable bond lengths.
  • the template structure is altered using other methods, such as manually, including directed or random perturbations. It is also possible to modify the template structure during later steps of computational screening, including during the energy calculation and combinatorial optimization steps. In an alternate embodiment, the template structure is not modified before or during computational screening calculations.
  • variable positions are chosen.
  • “variable position” herein is meant a position at which the amino acid identity is allowed to be altered in a computational screening calculation. As is known in the art, allowing amino acid modifications to be considered only at certain variable positions reduces the complexity of a calculation and enables computational screening to be more directly tailored for the design goal.
  • One or more residues may be variable positions in computational screening calculations. Positions that are chosen as variable positions may be those that contribute to or are hypothesized to contribute to the protein property to be optimized, for example Fc affinity for an Fc ⁇ R, Fc stability, Fc solubility, and so forth. Residues at variable positions may contribute favorably or unfavorably to a specific protein property.
  • a residue at an Fc/Fc ⁇ R interface may be involved in mediating binding, and thus this position may be varied in design calculations aimed at improving Fc/Fc ⁇ R affinity.
  • a residue that has an exposed hydrophobic side chain may be responsible for causing unfavorable aggregation, and thus this position may be varied in design calculations aimed at improving solubility.
  • Variable positions may be those positions that are directly involved in interactions that are determinants of a particular protein property.
  • the Fc ⁇ R binding site of Fc may be defined to include all residues that contact that particular F ⁇ cR.
  • variable positions may include those positions that are indirectly involved in a protein property, i.e. such positions may be proximal to residues that are known to or hypothesized to contribute to an Fc property.
  • the Fc ⁇ R binding site of an Fc may be defined to include all Fc residues within a certain distance, for example 4-10 ⁇ , of any Fc residue that is in van der Waals contact with the Fc ⁇ R.
  • variable positions in this case may be chosen not only as residues that directly contact the Fc ⁇ R, but also those that contact residues that contact the Fc ⁇ R and thus influence binding indirectly. The specific positions chosen are dependent on the design strategy being employed.
  • One or more positions in the template structure that are not variable may be floated.
  • floated position herein is meant a position at which the amino acid conformation but not the amino acid identity is allowed to vary in a computational screening calculation.
  • the floated position may have the parent amino acid identity.
  • floated positions may be positions that are within a small distance, for example 5 ⁇ , of a variable position residue.
  • a floated position may have a non-parent amino acid identity. Such an embodiment may find use in the present invention, for example, when the goal is to evaluate the energetic or structural outcome of a specific mutation.
  • Positions that are not variable or floated are fixed.
  • “fixed position” herein is meant a position at which the amino acid identity and the conformation are held constant in a computational screening calculation.
  • Positions that may be fixed include residues that are not known to be or hypothesized to be involved in the property to be optimized. In this case the assumption is that there is little or nothing to be gained by varying these positions.
  • Positions that are fixed may also include positions whose residues are known or hypothesized to be important for maintaining proper folding, structure, stability, solubility, and/or biological function.
  • positions may be fixed for residues that interact with a particular Fc ligand or residues that encode a glycosylation site in order to ensure that binding to the Fc ligand and proper glycosylation respectively are not perturbed.
  • positions that directly or indirectly interact with an Fc ligand for example an Fc ⁇ R, so that binding is not perturbed.
  • Fixed positions may also include structurally important residues such as cysteines participating in disulfide bridges, residues critical for determining backbone conformation such as proline or glycine, critical hydrogen bonding residues, and residues that form favorable packing interactions.
  • the next step in computational screening is to select a set of possible amino acid identities that will be considered at each particular variable position.
  • This set of possible amino acids is herein referred to as “considered amino acids” at a variable position.
  • “Amino acids” as used herein refers to the set of natural 20 amino acids and any nonnatural or synthetic analogues. In one embodiment, all 20 natural amino acids are considered. Alternatively, a subset of amino acids, or even only one amino acid is considered at a given variable position.
  • there is a computational benefit to considering only certain amino acid identities at variable positions as it decreases the combinatorial complexity of the search.
  • considering only certain amino acids at variable positions may be used to tailor calculations toward specific design strategies.
  • Nonnatural amino acids including synthetic amino acids and analogues of natural amino acids, may also be considered amino acids. For example see Chin et al., 2003, Science, 301(5635):964-7; and Chin et al., 2003, Chem Biol 10(6):511-9.
  • a wide variety of methods may be used, alone or in combination, to select which amino acids will be considered at each position.
  • the set of considered amino acids at a given variable position may be chosen based on the degree of exposure to solvent.
  • Hydrophobic or nonpolar amino acids typically reside in the interior or core of a protein, which are inaccessible or nearly inaccessible to solvent.
  • nonpolar amino acids such as alanine, valine, isoleucine, leucine, phenylalanine, tyrosine, tryptophan, and methionine.
  • Hydrophilic or polar amino acids typically reside on the exterior or surface of proteins, which have a significant degree of solvent accessibility.
  • variable surface positions it may be beneficial to consider only or mostly polar amino acids such as alanine, serine, threonine, aspartic acid, asparagine, glutamine, glutamic acid, arginine, lysine and histidine.
  • polar amino acids such as alanine, serine, threonine, aspartic acid, asparagine, glutamine, glutamic acid, arginine, lysine and histidine.
  • variable boundary positions it may be beneficial to consider both nonpolar and polar amino acids such as alanine, serine, threonine, aspartic acid, asparagine, glutamine, glutamic acid, arginine, lysine histidine, valine, isoleucine, leucine, phenylalanine, tyrosine, tryptophan, and methionine.
  • Determination of the degree of solvent exposure at variable positions may be by subjective evaluation or visual inspection of the template structure by one skilled in the art of protein structural biology, or by using a variety of algorithms that are known in the art.
  • each variable position may be classified explicitly as a core, surface, or boundary position or a classification substantially similar to core, surface, or boundary.
  • selection of the set of amino acids allowed at variable positions may be hypothesis-driven. Hypotheses for which amino acid types should be considered at variable positions may be derived by a subjective evaluation or visual inspection of the template structure by one skilled in the art of protein structural biology. For example, if it is suspected that a hydrogen bonding interaction may be favorable at a variable position, polar residues that have the capacity to form hydrogen bonds may be considered, even if the position is in the core. Likewise, if it is suspected that a hydrophobic packing interaction may be favorable at a variable position, nonpolar residues that have the capacity to form favorable packing interactions may be considered, even if the position is on the surface. Other examples of hypothesis-driven approaches may involve issues of backbone flexibility or protein fold.
  • residues for example proline, glycine, and cysteine
  • Glycine enables greater backbone flexibility than all other amino acids
  • proline constrains the backbone more than all other amino acids
  • cysteines may form disulfide bonds. It may therefore be beneficial to include one or more of these amino acid types to achieve a desired design goal. Alternatively, it may be beneficial to exclude one or more of these amino acid types from the list of considered amino acids.
  • subsets of amino acids may be chosen to maximize coverage.
  • additional amino acids with properties similar to that in the template structure may be considered at variable positions.
  • additional large hydrophobic amino acids may be considered at that position.
  • subsets of amino acids may be chosen to maximize diversity.
  • amino acids with properties dissimilar to those in the template structure may be considered at variable positions. For example, if the residue at a variable position in the template is a large hydrophobic residue, amino acids that are small, polar, etc. may be considered.
  • Rotamers may be obtained from published rotamer libraries (see for example, Lovel et al., 2000, Proteins: Structure Function and Genetics 40:389-408; Dunbrack & Cohen, 1997, Protein Science 6:1661-1681; DeMaeyer et al., 1997, Folding and Design 2:53-66; Tuffery et al., 1991, J Biomol Struct Dyn 8:1267-1289, Ponder & Richards, 1987, J Mol Biol 193:775-791).
  • rotamer libraries may be backbone-independent or backbone-dependent. Rotamers may also be obtained from molecular mechanics or ab initio calculations, and using other methods.
  • a flexible rotamer model is used (see Mendes et al., 1999, Proteins: Structure, Function, and Genetics 37:530-543).
  • artificially generated rotamers may be used, or augment the set chosen for each amino acid and/or variable position.
  • at least one conformation that is not low in energy is included in the list of rotamers.
  • the rotamer of the variable position residue in the template structure is included in the list of rotamers allowed for that variable position.
  • only the identity of each amino acid considered at variable positions is provided, and no specific conformational states of each amino acid are used during design calculations. That is, use of rotamers is not essential for computational screening.
  • variable positions and/or the choice of considered amino acids at variable positions may be used to guide the choice of variable positions and/or the choice of considered amino acids at variable positions.
  • mutagenesis experiments are often carried out to determine the role of certain residues in protein structure and function, for example, which protein residues play a role in determining stability, or which residues make up the interface of a protein-protein interaction. Data obtained from such experiments are useful in the present invention.
  • variable positions for Fc/Fc ⁇ R affinity enhancement could involve varying all positions at which mutation has been shown to affect binding.
  • the results from such an experiment may be used to guide the choice of allowed amino acid types at variable positions. For example, if certain types of amino acid substitutions are found to be favorable, similar types of those amino acids may be considered.
  • additional amino acids with properties similar to those that were found to be favorable experimentally may be considered at variable positions. For example, if experimental mutation of a variable position at an Fc/Fc ⁇ R interface to a large hydrophobic residue was found to be favorable, the user may choose to include additional large hydrophobic amino acids at that position in the computational screen.
  • display and other selection technologies may be coupled with random mutagenesis to generate a list or lists of amino acid substitutions that are favorable for the selected property. Such a list or lists obtained from such experimental work find use in the present invention.
  • positions that are found to be invariable in such an experiment may be excluded as variable positions in computational screening calculations, whereas positions that are found to be more acceptable to mutation or respond favorably to mutation may be chosen as variable positions.
  • the results from such experiments may be used to guide the choice of allowed amino acid types at variable positions. For example, if certain types of amino acids arise more frequently in an experimental selection, similar types of those amino acids may be considered. In one embodiment, additional amino acids with properties similar to those that were found to be favorable experimentally may be considered at variable positions.
  • the user may choose to include additional uncharged polar amino acids, or perhaps charged polar amino acids, at that position.
  • Sequence information may also be used to guide choice of variable positions and/or the choice of amino acids considered at variable positions.
  • some proteins share a common structural scaffold and are homologous in sequence. This information may be used to gain insight into particular positions in the protein family.
  • sequence alignments are often carried out to determine which protein residues are conserved and which are not conserved. That is to say, by comparing and contrasting alignments of protein sequences, the degree of variability at a position may be observed, and the types of amino acids that occur naturally at positions may be observed. Data obtained from such analyses are useful in the present invention.
  • sequence information to choose variable positions and considered amino acids at variable positions are several fold.
  • sequence information may aid in ensuring that quality diversity, i.e. mutations that are not deleterious to protein structure, stability, etc., is sampled computationally.
  • sequence information may aid in ensuring that quality diversity, i.e. mutations that are not deleterious to protein structure, stability, etc., is sampled computationally.
  • sequence information may aid in ensuring that quality diversity, i.e. mutations that are not deleterious to protein structure, stability, etc., is sampled computationally.
  • sequence information may aid in ensuring that quality diversity, i.e. mutations that are not deleterious to protein structure, stability, etc., is sampled computationally.
  • sequence information may aid in ensuring that quality diversity, i.e. mutations that are not deleterious to protein structure, stability, etc., is sampled computationally.
  • sequence information may aid in ensuring that quality diversity, i.e. mutations that are not deleterious to protein structure, stability, etc., is sampled computationally.
  • sequence information may aid in ensuring that
  • a second benefit of using sequence information to select amino acid types considered at variable positions is that certain alignments may represent sequences that may be less immunogenic than random sequences. For example, if the amino acids considered at a given variable position are the set of amino acids which occur at that position in an alignment of human protein sequences, those amino acids may be thought of as being pre-screened by nature for generating no or low immune response if the optimized protein is used as a human therapeutic.
  • the source of the sequences may vary widely, and include one or more of the known databases, including but not limited to the Kabat database (Johnson & Wu, 2001, Nucleic Acids Res 29:205-206; Johnson & Wu, 2000, Nucleic Acids Res 28:214-218), the IMGT database (IMGT, the international ImMunoGeneTics information system®; Lefranc et al., 1999, Nucleic Acids Res 27:209-212; Ruiz et al., 2000 Nucleic Acids Re.
  • IMGT the international ImMunoGeneTics information system®
  • Protein sequence information can be obtained, compiled, and/or generated from sequence alignments of naturally occurring proteins from any organism, including but not limited to mammals. Protein sequence information can be obtained from a database that is compiled privately. There are numerous sequence-based alignment programs and methods known in the art, and all of these find use in the present invention for generation of sequence alignments of proteins that comprise Fc and Fc ligands.
  • sequence information can be used to guide choice of variable positions.
  • Such sequence information can relate the variability, natural or otherwise, of a given position.
  • Variability herein should be distinguished from variable position.
  • Variability refers to the degree to which a given position in a sequence alignment shows variation in the types of amino acids that occur there.
  • Variable position to reiterate, is a position chosen by the user to vary in amino acid identity during a computational screening calculation. Variability may be determined qualitatively by one skilled in the art of bioinformatics. There are also methods known in the art to quantitatively determine variability that may find use in the present invention. The most preferred embodiment measures Information Entropy or Shannon Entropy. Variable positions can be chosen based on sequence information obtained from closely related protein sequences, or sequences that are less closely related.
  • sequence information to choose variable positions finds broad use in the present invention. For example, if an Fc/Fc ⁇ R interface position in the template structure is tryptophan, and tryptophan is observed at that position in greater than 90% of the sequences in an alignment, it may be beneficial to leave that position fixed. In contrast, if another interface position is found to have a greater level of variability, for example if five different amino acids are observed at that position with frequencies of approximately 20% each, that position may be chosen as a variable position. In another embodiment, visual inspection of aligned protein sequences may substitute for or aid visual inspection of a protein structure. Sequence information can also be used to guide the choice of amino acids considered at variable positions.
  • sequence information can relate to how frequently an amino acid, amino acids, or amino acid types (for example polar or nonpolar, charged or uncharged) occur, naturally or otherwise, at a given position.
  • the set of amino acids considered at a variable position may comprise the set of amino acids that is observed at that position in the alignment.
  • the position-specific alignment information is used directly to generate the list of considered amino acids at a variable position in a computational screening calculation.
  • the set of amino acids considered at a variable position or positions may comprise a set of amino acids that is observed most frequently in the alignment.
  • a certain criteria is applied to determine whether the frequency of an amino acid or amino acid type warrants its inclusion in the set of amino acids that are considered at a variable position.
  • sequence alignments may be analyzed using statistical methods to calculate the sequence diversity at any position in the alignment and the occurrence frequency or probability of each amino acid at a position. Such data may then be used to determine which amino acids types to consider. In the simplest embodiment, these occurrence frequencies are calculated by counting the number of times an amino acid is observed at an alignment position, then dividing by the total number of sequences in the alignment.
  • the contribution of each sequence, position or amino acid to the counting procedure is weighted by a variety of possible mechanisms.
  • the contribution of each aligned sequence to the frequency statistics is weighted according to its diversity weighting relative to other sequences in the alignment. A common strategy for accomplishing this is the sequence weighting system recommended by Henikoff and Henikoff (Henikoff & Henikoff, 2000, Adv Protein Chem 54:73-97; Henikoff & Henikoff, 1994, J Mol Biol 243:574-8.
  • the contribution of each sequence to the statistics is dependent on its extent of similarity to the target sequence, i.e. the template structure used, such that sequences with higher similarity to the target sequence are weighted more highly.
  • similarity measures include, but are not limited to, sequence identity, BLOSUM similarity score, PAM matrix similarity score, and BLAST score.
  • the contribution of each sequence to the statistics is dependent on its known physical or functional properties. These properties include, but are not limited to, thermal and chemical stability, contribution to activity, and solubility. For example, when optimizing aglycosylated Fc for solubility, those sequences in an alignment that are known to be most soluble (for example see Ewert et al., 2003, J Mol Biol 325:531-553), will contribute more heavily to the calculated frequencies.
  • considered amino acids may be chosen as the set of amino acids, or a subset of those amino acids which meet some criteria, that are observed at that position in an alignment of protein sequences.
  • one or more amino acids may be added or subtracted subjectively from a list of amino acids derived from a sequence alignment in order to maximize coverage. For example, additional amino acids with properties similar to those that are found in a sequence alignment may be considered at variable positions.
  • an Fc position that is known to or hypothesized to bind an Fc ⁇ R is observed to have uncharged polar amino acids in a sequence alignment
  • the user may choose to include additional uncharged polar amino acids in a computational screening calculation, or perhaps charged polar amino acids, at that position.
  • sequence alignment information is combined with energy calculation, as discussed below.
  • pseudo energies can be derived from sequence information to generate a scoring function.
  • the use of a sequence-based scoring function may assist in significantly reducing the complexity of a calculation.
  • the use of a sequence-based scoring function alone may be inadequate because sequence information can often indicate misleading correlations between mutations that may in reality be structurally conflicting.
  • a structure-based method of energy calculation is used, either alone or in combination with a sequence-based scoring function. That is, preferred embodiments do not rely on sequence alignment information alone as the analysis step.
  • Energy calculation refers to the process by which amino acid modifications are scored.
  • the energies of interaction are measured by one or more scoring functions.
  • scoring functions find use in the present invention for calculating energies.
  • Scoring functions may include any number of potentials, herein referred to as the energy terms of a scoring function, including but not limited to a van der Waals potential, a hydrogen bond potential, an atomic solvation potential or other solvation models, a secondary structure propensity potential, an electrostatic potential, a torsional potential, and an entropy potential.
  • At least one energy term is used to score each variable or floated position, although the energy terms may differ depending on the position, considered amino acids, and other considerations.
  • a scoring function using one energy term is used.
  • energies are calculated using a scoring function that contains more than one energy term, for example describing van der Waals, salvation, electrostatic, and hydrogen bond interactions, and combinations thereof.
  • additional energy terms include but are not limited to entropic terms, torsional energies, and knowledge-based energies.
  • scoring functions are described in U.S. Pat. No. 6,188,965; U.S. Pat. No. 6,269,312; U.S. Pat. No. 6,403,312; U.S. Ser. No. 09/782,004; U.S. Ser. No. 09/927,790; U.S. Ser. No. 09/877,695; U.S. Ser. No. 10/071,859, U.S. Ser. No. 10/218,102; PCT WO 98/07254; PCT WO 01/40091; and PCT WO 02/25588.
  • scoring functions need not be limited to physico-chemical energy terms.
  • knowledge-based potentials may find use in the computational screening methodology of the present invention.
  • knowledge-based potentials may be derived from protein sequence and/or structure statistics including but not limited to threading potentials, reference energies, pseudo energies, homology-based energies, and sequence biases derived from sequence alignments.
  • a scoring function is modified to include models for immunogenicity, such as functions derived from data on binding of peptides to MHC (Major Htocompatability Complex), that may be used to identify potentially immunogenic sequences (see for example U.S. Ser. No. 09/903,378; U.S. Ser. No. 10/039,170; U.S. SNo. 60/222,697; U.S. Ser. No.
  • sequence alignment information can be used to score amino acid substitutions. For example, comparison of protein sequences, regardless of whether the source of said proteins is human, monkey, mouse, or otherwise, may be used to suggest or score amino acid mutations in the computational screening methodology of the present invention.
  • one or more scoring functions may be optimized or “trained” during the computational analysis, and then the analysis re-run using the optimized system. Such altered scoring functions may be obtained for example, by training a scoring function using experimental data.
  • a number of force fields which are comprised of one or more energy terms, may serve as scoring functions.
  • Force fields include but are not limited to ab initio or quantum mechanical force fields, semi-empirical force fields, and molecular mechanics force fields. Scoring functions that are knowledge-based or that use statistical methods may find use in the present invention. These methods may be used to assess the match between a sequence and a three-dimensional protein structure, and hence may be used to score amino acid substitutions for fidelity to the protein structure. In one embodiment, molecular dynamics calculations may be used to computationally screen sequences by individually calculating mutant sequence scores.
  • amino acids there are a variety of ways to represent amino acids in order to enable efficient energy calculation.
  • considered amino acids are represented as rotamers, as described previously, and the energy (or score) of interaction of each possible rotamer at each variable and floated position with the other variable and floated rotamers, with fixed position residues, and with the backbone structure and any non-protein atoms, is calculated.
  • two sets of interaction energies are calculated for each side chain rotamer at every variable and floated position: the interaction energy between the rotamer and the fixed atoms (the “singles” energy), and the interaction energy between the variable and floated positions rotamer and all other possible rotamers at every other variable and floated position (the “doubles” energy).
  • singles and doubles energies are calculated for fixed positions as well as for variable and floated positions.
  • considered amino acids are not represented as rotamers.
  • An important component of computational screening is the identification of one or more sequences that have a favorable score, i.e. are low in energy. Determining a set of low energy sequences from an extremely large number of possibilities is nontrivial, and to solve this problem a combinatorial optimization algorithm is employed. The need for a combinatorial optimization algorithm is illustrated by examining the number of possibilities that are considered in a typical computational screening calculation. The discrete nature of rotamer sets allows a simple calculation of the number of possible rotameric sequences for a given design problem. A backbone of length n with m possible rotamers per position will have m n possible rotamer sequences, a number that grows exponentially with sequence length.
  • Examples of the first class of algorithms include but are not limited to Dead-End Elimination (DEE) and Branch & Bound (B&B) (including Branch and Terminate) (Gordon & Mayo, 1999, Structure Fold Des 7:1089-98).
  • Examples of the second class of algorithms include, but are not limited to, Monte Carlo (MC), self-consistent mean field (SCMF), Boltzmann sampling (Metropolis et al., 1953, J Chem Phys 21:1087), simulated annealing (Kirkpatrick et al., 1983, Science, 220:671-680), genetic algorithm (GA), and Fast and Accurate Side-Chain Topology and Energy Refinement (FASTER) (Desmet, et al., 2002, Proteins, 48:31-43).
  • a combinatorial optimization algorithm may be used alone or in conjunction with another combinatorial optimization algorithm.
  • the strategy for applying a combinatorial optimization algorithm is to find the global minimum energy configuration.
  • the strategy is to find one or more low energy or favorable sequences.
  • the strategy is to find the global minimum energy configuration and then find one or more low energy or favorable sequences.
  • DEE Dead End Elimination
  • preferred embodiments utilize a Dead End Elimination (DEE) step and a Monte Carlo step.
  • DEE Dead End Elimination
  • Monte Carlo step a Monte Carlo step.
  • tabu search algorithms are used or combined with DEE and/or Monte Carlo, among other search methods (see Modern Heuristic Search Methods, edited by V. J.
  • design calculations are not combinatorial. That is, energy calculations are used to evaluate amino acid substitutions individually at single variable positions. For other calculations it is preferred to evaluate amino acid substitutions at more than one variable position.
  • all possible interaction energies are calculated prior to combinatorial optimization. In an alternatively preferred embodiment, energies may be calculated as needed during combinatorial optimization.
  • the present invention provides methods for generating libraries that may subsequently be screened experimentally to single out optimized Fc variants.
  • library as used herein is meant a set of one or more Fc variants. Library may refer to the set of variants in any form.
  • the library is a list of nucleic acid or amino acid sequences, or a list of nucleic acid or amino acid substitutions at variable positions. For example, the examples used to illustrate the present invention below provide libraries as amino acid substitutions at variable positions.
  • a library is a list of at least one sequence that are Fc variants optimized for a desired property.
  • a library may be defined as a combinatorial list, meaning that a list of amino acid substitutions is generated for each variable position, with the implication that each substitution is to be combined with all other designed substitutions at all other variable positions. In this case, expansion of the combination of all possibilities at all variable positions results in a large explicitly defined library.
  • a library may refer to a physical composition of polypeptides that comprise the Fc region or some domain or fragment of the Fc region.
  • a library may refer to a physical composition of antibodies or Fc fusions, either in purified or unpurified form.
  • a library may refer to a physical composition of nucleic acids that encode the library sequences.
  • Said nucleic acids may be the genes encoding the library members, the genes encoding the library members with any operably linked nucleic acids, or expression vectors encoding the library members together with any other operably linked regulatory sequences, selectable markers, fusion constructs, and/or other elements.
  • the library may be a set of mammalian expression vectors that encode Fc library members, the protein products of which may be subsequently expressed, purified, and screened experimentally.
  • the library may be a display library.
  • Such a library could, for example, comprise a set of expression vectors that encode library members operably linked to some fusion partner that enables phage display, ribosome display, yeast display, bacterial surface display, and the like.
  • the library may be generated using the output sequence or sequences from computational screening.
  • computationally generated libraries are significantly enriched in stable, properly folded, and functional sequences relative to randomly generated libraries.
  • computational screening increases the chances of identifying proteins that are optimized for the design goal.
  • the set of sequences in a library is generally, but not always, significantly different from the parent sequence, although in some cases the library preferably contains the parent sequence.
  • a library may be derived from the output of computational screening calculations. For example, methods of library generation described in U.S. Pat. No. 6,403,312; U.S. Ser. No. 09/782,004; U.S. Ser. No.
  • sequences scoring within a certain range of the global optimum sequence may be included in the library. For example, all sequences within 10 kcal/mol of the lowest energy sequence could be used as the library. In an alternate embodiment, sequences scoring within a certain range of one or more local minima sequences may be used.
  • the library sequences are obtained from a filtered set. Such a list or set may be generated by a variety of methods, as is known in the art, for example using an algorithm such as Monte Carlo, B&B, or SCMF.
  • the top 10 3 or the top 10 5 sequences in the filtered set may comprise the library.
  • the total number of sequences defined by the combination of all mutations may be used as a cutoff criterion for the library.
  • Preferred values for the total number of recombined sequences range from 10 to 10 20 , particularly preferred values range from 100 to 10 9 .
  • a cutoff may be enforced when a predetermined number of mutations per position is reached.
  • sequences that do not make the cutoff are included in the library. This may be desirable in some situations, for instance to evaluate the approach to library generation, to provide controls or comparisons, or to sample additional sequence space.
  • the parent sequence may be included in the library, even if it does not make the cutoff.
  • Clustering algorithms may be useful for classifying sequences derived by computational screening methods into representative groups. For example, the methods of clustering and their application described in U.S. Ser. No. 10/218,102 and PCT WO 02/25588, find use in the present invention.
  • Representative groups may be defined, for example, by similarity. Measures of similarity include, but are not limited to sequence similarity and energetic similarity.
  • the output sequences from computational screening may be clustered around local minima, referred to herein as clustered sets of sequences. For example, sets of sequences that are close in sequence space may be distinguished from other sets.
  • coverage within one or a subset of clustered sets may be maximized by including in the library some, most, or all of the sequences that make up one or more clustered sets of sequences. For example, it may be advantageous to maximize coverage within the one, two, or three lowest energy clustered sets by including the majority of sequences within these sets in the library.
  • diversity across clustered sets of sequences may be sampled by including within a library only a subset of sequences within each clustered set. For example, all or most of the clustered sets could be broadly sampled by including the lowest energy sequence from each clustered set in the library.
  • Sequence information may be used to guide or filter computationally screening results for generation of a library. As discussed, by comparing and contrasting alignments of protein sequences, the degree of variability at a position and the types of amino acids which occur naturally at that position may be observed. Data obtained from such analyses are useful in the present invention. The benefits of using sequence information have been discussed, and those benefits apply equally to use of sequence information to guide library generation.
  • the set of amino acids that occur in a sequence alignment may be thought of as being pre-screened by evolution to have a higher chance than random at being compatible with a protein's structure, stability, solubility, function, and immunogenicity.
  • sequence information is used to filter sequences from computational screening output. That is to say, some substitutions are subtracted from the computational output to generate the library.
  • the resulting output of a computational screening calculation or calculations may be filtered so that the library includes only those amino acids, or a subset of those amino acids that meet some criteria, for example that are observed at that position in an alignment of sequences.
  • sequence information is used to add sequences to the computational screening output. That is to say, sequence information is used to guide the choice of additional amino acids that are added to the computational output to generate the library.
  • the output set of amino acids for a given position from a computational screening calculation may be augmented to include one or more amino acids that are observed at that position in an alignment of protein sequences.
  • one or more amino acids may be added to or subtracted from the computational screening sequence output in order to maximize coverage or diversity.
  • additional amino acids with properties similar to those that are found in a sequence alignment may be added to the library. For example, if a position is observed to have uncharged polar amino acids in a sequence alignment, additional uncharged polar amino acids may be included in the library at that position.
  • Libraries may be processed further to generate subsequent libraries.
  • the output from a computational screening calculation or calculations may be thought of as a primary library.
  • This primary library may be combined with other primary libraries from other calculations or other libraries, processed using subsequent calculations, sequence information, or other analyses, or processed experimentally to generate a subsequent library, herein referred to as a secondary library.
  • sequence information to guide or filter libraries discussed above, is itself one method of generating secondary libraries from primary libraries.
  • Generation of secondary libraries gives the user greater control of the parameters within a library. This enables more efficient experimental screening, and may allow feedback from experimental results to be interpreted more easily, providing a more efficient design/experimentation cycle.
  • a selection step occurs in which a primary library is processed in some way.
  • a selection step occurs wherein some set of primary sequences are chosen to form the secondary library.
  • a selection step is a computational step, again generally including a selection step, wherein some subset of the primary library is chosen and then subjected to further computational analysis, including both further computational screening as well as techniques such as “in silico” shuffling or recombination (see, for example U.S. Pat. No.
  • a selection step occurs that is an experimental step, for example any of the library screening steps below, wherein some subset of the primary library is chosen and then recombined experimentally, for example using one of the directed evolution methods discussed below, to form a secondary library.
  • the primary library is generated and processed as outlined in U.S. Pat. No. 6,403,312.
  • secondary libraries may be generated by sampling sequence diversity at highly mutatable or highly conserved positions.
  • the primary library may be analyzed to determine which amino acid positions in the template protein have high mutational frequency, and which positions have low mutational frequency. For example, positions in a protein that show a great deal of mutational diversity in computational screening may be fixed in a subsequent round of design calculations. A filtered set of the same size as the first would now show diversity at positions that were largely conserved in the first library.
  • the secondary library may be generated by varying the amino acids at the positions that have high numbers of mutations, while keeping constant the positions that do not have mutations above a certain frequency.
  • tertiary libraries may be constructed using a variety of additional steps applied to one or more secondary libraries; for example, further computational processing may occur, secondary libraries may be recombined, or subsets of different secondary libraries may be combined.
  • a tertiary library may be generated by combining secondary libraries. For example, primary and/or secondary libraries that analyzed different parts of a protein may be combined to generate a tertiary library that treats the combined parts of the protein.
  • the variants from a primary library may be combined with the variants from another primary library to provide a combined tertiary library at lower computational cost than creating a very long filtered set.
  • These combinations may be used, for example, to analyze large proteins, especially large multi-domain proteins, of which Fc is an example.
  • Fc large multi-domain proteins
  • the above description of secondary library generation applies to generating any library subsequent to a primary library, the end result being a final library that may screened experimentally to obtain protein variants optimized for a design goal.
  • These examples are not meant to constrain generation of secondary libraries to any particular application or theory of operation for the present invention. Rather, these examples are meant to illustrate that generation of secondary libraries, and subsequent libraries such as tertiary libraries and so on, is broadly useful in computational screening methodology for library generation.
  • the present invention provides methods for producing and screening libraries of Fc variants.
  • the described methods are not meant to constrain the present invention to any particular application or theory of operation. Rather, the provided methods are meant to illustrate generally that one or more Fc variants or one or more libraries of Fc variants may be produced and screened experimentally to obtain optimized Fc variants.
  • Fc variants may be produced and screened in any context, whether as an Fc region as precisely defined herein, a domain or fragment thereof, or a larger polypeptide that comprises Fc such as an antibody or Fc fusion.
  • the library sequences are used to create nucleic acids that encode the member sequences, and that may then be cloned into host cells, expressed and assayed, if desired.
  • nucleic acids, and particularly DNA may be made that encode each member protein sequence.
  • Such methods include but are not limited to gene assembly methods, PCR-based method and methods which use variations of PCR, ligase chain reaction-based methods, pooled oligo methods such as those used in synthetic shuffling, error-prone amplification methods and methods which use oligos with random mutations, classical site-directed mutagenesis methods, cassette mutagenesis, and other amplification and gene synthesis methods.
  • gene assembly methods PCR-based method and methods which use variations of PCR
  • ligase chain reaction-based methods pooled oligo methods such as those used in synthetic shuffling
  • error-prone amplification methods and methods which use oligos with random mutations
  • classical site-directed mutagenesis methods cassette mutagenesis
  • cassette mutagenesis cassette mutagenesis
  • other amplification and gene synthesis methods include but are not limited to gene assembly methods, PCR-based method and methods which use variations of PCR, ligase chain reaction-based methods, pooled oligo methods such as those used in synthetic shuff
  • the Fc variants of the present invention may be produced by culturing a host cell transformed with nucleic acid, preferably an expression vector, containing nucleic acid encoding the Fc variants, under the appropriate conditions to induce or cause expression of the protein.
  • the conditions appropriate for expression will vary with the choice of the expression vector and the host cell, and will be easily ascertained by one skilled in the art through routine experimentation.
  • a wide variety of appropriate host cells may be used, including but not limited to mammalian cells, bacteria, insect cells, and yeast.
  • a variety of cell lines that may find use in the present invention are described in the ATCC® cell line catalog, available from the American Type Culture Collection.
  • the Fc variants are expressed in mammalian expression systems, including systems in which the expression constructs are introduced into the mammalian cells using virus such as retrovirus or adenovirus.
  • virus such as retrovirus or adenovirus.
  • Any mammalian cells may be used, with human, mouse, rat, hamster, and primate cells being particularly preferred. Suitable cells also include known research cells, including but not limited to Jurkat T cells, NIH3T3, CHO, COS, and 293 cells.
  • library proteins are expressed in bacterial cells.
  • Bacterial expression systems are well known in the art, and include Escherichia coli ( E.
  • Fc variants are produced in insect cells or yeast cells.
  • Fc variants are expressed in vitro using cell free translation systems.
  • In vitro translation systems derived from both prokaryotic (e.g. E. coli ) and eukaryotic (e.g. wheat germ, rabbit reticulocytes) cells are available and may be chosen based on the expression levels and functional properties of the protein of interest. For example, as appreciated by those skilled in the art, in vitro translation is required for some display technologies, for example ribosome display.
  • the Fc variants may be produced by chemical synthesis methods.
  • the nucleic acids that encode the Fc variants of the present invention may be incorporated into an expression vector in order to express the protein.
  • a variety of expression vectors may be utilized for protein expression.
  • Expression vectors may comprise self-replicating extra-chromosomal vectors or vectors which integrate into a host genome. Expression vectors are constructed to be compatible with the host cell type.
  • expression vectors which find use in the present invention include but are not limited to those which enable protein expression in mammalian cells, bacteria, insect cells, yeast, and in in vitro systems.
  • a variety of expression vectors are available, commercially or otherwise, that may find use in the present invention for expressing Fc variant proteins.
  • Expression vectors typically comprise a protein operably linked with control or regulatory sequences, selectable markers, any fusion partners, and/or additional elements.
  • operably linked herein is meant that the nucleic acid is placed into a functional relationship with another nucleic acid sequence.
  • these expression vectors include transcriptional and translational regulatory nucleic acid operably linked to the nucleic acid encoding the Fc variant, and are typically appropriate to the host cell used to express the protein.
  • the transcriptional and translational regulatory sequences may include promoter sequences, ribosomal binding sites, transcriptional start and stop sequences, translational start and stop sequences, and enhancer or activator sequences.
  • expression vectors typically contain a selection gene or marker to allow the selection of transformed host cells containing the expression vector. Selection genes are well known in the art and will vary with the host cell used.
  • Fc variants may be operably linked to a fusion partner to enable targeting of the expressed protein, purification, screening, display, and the like.
  • Fusion partners may be linked to the Fc variant sequence via a linker sequences.
  • the linker sequence will generally comprise a small number of amino acids, typically less than ten, although longer linkers may also be used. Typically, linker sequences are selected to be flexible and resistant to degradation. As will be appreciated by those skilled in the art, any of a wide variety of sequences may be used as linkers.
  • a common linker sequence comprises the amino acid sequence GGGGS.
  • a fusion partner may be a targeting or signal sequence that directs Fc variant protein and any associated fusion partners to a desired cellular location or to the extracellular media.
  • fusion partner may also be a sequence that encodes a peptide or protein that enables purification and/or screening.
  • fusion partners include but are not limited to polyhistidine tags (His-tags) (for example H 6 and H 10 or other tags for use with Immobilized Metal Affinity Chromatography (IMAC) systems (e.g.
  • tags which are targeted by antibodies (for example c-myc tags, flag-tags, and the like).
  • tags may be useful for purification, for screening, or both.
  • an Fc variant may be purified using a His-tag by immobilizing it to a Ni +2 affinity column, and then after purification the same His-tag may be used to immobilize the antibody to a Ni +2 coated plate to perform an ELISA or other binding assay (as described below).
  • a fusion partner may enable the use of a selection method to screen Fc variants (see below). Fusion partners that enable a variety of selection methods are well-known in the art, and all of these find use in the present invention. For example, by fusing the members of an Fc variant library to the gene III protein, phage display can be employed (Kay et al., Phage display of peptides and proteins: a laboratory manual, Academic Press, San Diego, Calif., 1996; Lowman et al., 1991, Biochemistry 30:10832-10838; Smith, 1985, Science 228:1315-1317). Fusion partners may enable Fc variants to be labeled.
  • a fusion partner may bind to a specific sequence on the expression vector, enabling the fusion partner and associated Fc variant to be linked covalently or noncovalently with the nucleic acid that encodes them.
  • the methods of introducing exogenous nucleic acid into host cells are well known in the art, and will vary with the host cell used. Techniques include but are not limited to dextran-mediated transfection, calcium phosphate precipitation, calcium chloride treatment, polybrene mediated transfection, protoplast fusion, electroporation, viral or phage infection, encapsulation of the polynucleotide(s) in liposomes, and direct microinjection of the DNA into nuclei. In the case of mammalian cells, transfection may be either transient or stable.
  • Fc variant proteins are purified or isolated after expression. Proteins may be isolated or purified in a variety of ways known to those skilled in the art. Standard purification methods include chromatographic techniques, including ion exchange, hydrophobic interaction, affinity, sizing or gel filtration, and reversed-phase, carried out at atmospheric pressure or at high pressure using systems such as FPLC and HPLC. Purification methods also include electrophoretic, immunological, precipitation, dialysis, and chromatofocusing techniques. Ultrafiltration and diafiltration techniques, in conjunction with protein concentration, are also useful. As is well known in the art, a variety of natural proteins bind Fc and antibodies, and these proteins can find use in the present invention for purification of Fc variants.
  • the bacterial proteins A and G bind to the Fc region.
  • the bacterial protein L binds to the Fab region of some antibodies, as of course does the antibody's target antigen.
  • Purification can often be enabled by a particular fusion partner.
  • Fc variant proteins may be purified using glutathione resin if a GST fusion is employed, Ni +2 affinity chromatography if a His-tag is employed, or immobilized anti-flag antibody if a flag-tag is used.
  • suitable purification techniques see Protein Purification: Principles and Practice, 3 rd Ed., Scopes, Springer-Verlag, N.Y., 1994. The degree of purification necessary will vary depending on the screen or use of the Fc variants.
  • no purification is necessary.
  • screening may take place directly from the media.
  • some methods of selection do not involve purification of proteins.
  • protein purification may not be performed.
  • Fc variants may be screened using a variety of methods, including but not limited to those that use in vitro assays, in vivo and cell-based assays, and selection technologies. Automation and high-throughput screening technologies may be utilized in the screening procedures. Screening may employ the use of a fusion partner or label. The use of fusion partners has been discussed above.
  • label herein is meant that the Fc variants of the invention have one or more elements, isotopes, or chemical compounds attached to enable the detection in a screen.
  • labels fall into three classes: a) immune labels, which may be an epitope incorporated as a fusion partner that is recognized by an antibody, b) isotopic labels, which may be radioactive or heavy isotopes, and c) small molecule labels, which may include fluorescent and colorimetric dyes, or molecules such as biotin that enable other labeling methods. Labels may be incorporated into the compound at any position and may be incorporated in vitro or in vivo during protein expression.
  • the functional and/or biophysical properties of Fc variants are screened in an in vitro assay.
  • In vitro assays may allow a broad dynamic range for screening properties of interest.
  • Properties of Fc variants that may be screened include but are not limited to stability, solubility, and affinity for Fc ligands, for example Fc ⁇ Rs. Multiple properties may be screened simultaneously or individually. Proteins may be purified or unpurified, depending on the requirements of the assay.
  • the screen is a qualitative or quantitative binding assay for binding of Fc variants to a protein or nonprotein molecule that is known or thought to bind the Fc variant.
  • the screen is a binding assay for measuring binding to the antibody's or Fc fusions' target antigen.
  • the screen is an assay for binding of Fc variants to an Fc ligand, including but are not limited to the family of Fc ⁇ Rs, the neonatal receptor FcRn, the complement protein C1q, and the bacterial proteins A and G.
  • Fc ligands may be from any organism, with humans, mice, rats, rabbits, and monkeys preferred.
  • Binding assays can be carried out using a variety of methods known in the art, including but not limited to FRET (Fluorescence Resonance Energy Transfer) and BRET (Bioluminescence Resonance Energy Transfer)-based assays, AlphaScreenTM (Amplified Luminescent Proximity Homogeneous Assay), Scintillation Proximity Assay, ELISA (Enzyme-Linked Immunosorbent Assay), SPR (Surface Plasmon Resonance, also known as BIACORE®), isothermal titration calorimetry, differential scanning calorimetry, gel electrophoresis, and chromatography including gel filtration. These and other methods may take advantage of some fusion partner or label of the Fc variant. Assays may employ a variety of detection methods including but not limited to chromogenic, fluorescent, luminescent, or isotopic labels.
  • Fc variant proteins for example stability and solubility
  • Protein stability may be determined by measuring the thermodynamic equilibrium between folded and unfolded states.
  • Fc variant proteins of the present invention may be unfolded using chemical denaturant, heat, or pH, and this transition may be monitored using methods including but not limited to circular dichroism spectroscopy, fluorescence spectroscopy, absorbance spectroscopy, NMR spectroscopy, calorimetry, and proteolysis.
  • the kinetic parameters of the folding and unfolding transitions may also be monitored using these and other techniques.
  • the solubility and overall structural integrity of an Fc variant protein may be quantitatively or qualitatively determined using a wide range of methods that are known in the art.
  • Methods which may find use in the present invention for characterizing the biophysical properties of Fc variant proteins include gel electrophoresis, chromatography such as size exclusion chromatography and reversed-phase high performance liquid chromatography, mass spectrometry, ultraviolet absorbance spectroscopy, fluorescence spectroscopy, circular dichroism spectroscopy, isothermal titration calorimetry, differential scanning calorimetry, analytical ultra-centrifugation, dynamic light scattering, proteolysis, and cross-linking, turbidity measurement, filter retardation assays, immunological assays, fluorescent dye binding assays, protein-staining assays, microscopy, and detection of aggregates via ELISA or other binding assay.
  • Structural analysis employing X-ray crystallographic techniques and NMR spectroscopy may also find use.
  • stability and/or solubility may be measured by determining the amount of protein solution after some defined period of time.
  • the protein may or may not be exposed to some extreme condition, for example elevated temperature, low pH, or the presence of denaturant.
  • the aforementioned functional and binding assays also provide ways to perform such a measurement. For example, a solution comprising an Fc variant could be assayed for its ability to bind target antigen, then exposed to elevated temperature for one or more defined periods of time, then assayed for antigen binding again. Because unfolded and aggregated protein is not expected to be capable of binding antigen, the amount of activity remaining provides a measure of the Fc variant's stability and solubility.
  • the library is screened using one or more cell-based or in vivo assays.
  • Fc variant proteins purified or unpurified, are typically added exogenously such that cells are exposed to individual variants or pools of variants belonging to a library.
  • These assays are typically, but not always, based on the function of an antibody or Fc fusion that comprises the Fc variant; that is, the ability of the antibody or Fc fusion to bind a target antigen and mediate some biochemical event, for example effector function, ligand/receptor binding inhibition, apoptosis, and the like.
  • Such assays often involve monitoring the response of cells to antibody or Fc fusion, for example cell survival, cell death, change in cellular morphology, or transcriptional activation such as cellular expression of a natural gene or reporter gene.
  • such assays may measure the ability of Fc variants to elicit ADCC, ADCP, or CDC.
  • additional cells or components that is in addition to the target cells, may need to be added, for example example serum complement, or effector cells such as peripheral blood monocytes (PBMCs), NK cells, macrophages, and the like.
  • PBMCs peripheral blood monocytes
  • NK cells macrophages, and the like.
  • additional cells may be from any organism, preferably humans, mice, rat, rabbit, and monkey.
  • Antibodies and Fc fusions may cause apoptosis of certain cell lines expressing the antibody's target antigen, or they may mediate attack on target cells by immune cells which have been added to the assay.
  • Methods for monitoring cell death or viability include the use of dyes, immunochemical, cytochemical, and radioactive reagents.
  • caspase staining assays may enable apoptosis to be measured, and uptake or release of radioactive substrates or fluorescent dyes such as alamar blue may enable cell growth or activation to be monitored.
  • the DELFIA® EuTDA-based cytotoxicity assay (Perkin Elmer, Mass.) is used.
  • dead or damaged target cells may be monitoried by measuring the release of one or more natural intracellular proteins, for example lactate dehydrogenase.
  • Transcriptional activation may also serve as a method for assaying function in cell-based assays.
  • response may be monitored by assaying for natural genes or proteins which may be upregulated, for example the release of certain interleukins may be measured, or alternatively readout may be via a reporter construct.
  • Cell-based assays may also involve the measure of morphological changes of cells as a response to the presence of an Fc variant.
  • Cell types for such assays may be prokaryotic or eukaryotic, and a variety of cell lines that are known in the art may be employed.
  • cell-based screens are performed using cells that have been transformed or transfected with nucleic acids encoding the Fc variants. That is, Fc variant proteins are not added exogenously to the cells.
  • the cell-based screen utilizes cell surface display.
  • a fusion partner can be employed that enables display of Fc variants on the surface of cells (Witrrup, 2001, Curr Opin Biotechnol, 12:395-399).
  • Cell surface display methods that may find use in the present invention include but are not limited to display on bacteria (Georgiou et al., 1997, Nat Biotechnol 15:29-34; Georgiou et al., 1993, Trends Biotechnol 11:6-10; Lee et al., 2000, Nat Biotechnol 18:645-648; Jun et al., 1998, Nat Biotechnol 16:576-80), yeast (Boder & Wittrup, 2000, Methods Enzymol 328:430-44; Boder & Wittrup, 1997, Nat Biotechnol 15:553-557), and mammalian cells (Whitehorn et al., 1995, Bio/technology 13:1215-1219).
  • Fc variant proteins are not displayed on the surface of cells, but rather are screened intracellularly or in some other cellular compartment.
  • periplasmic expression and cytometric screening Choen et al., 2001, Nat Biotechnol 19: 537-542
  • the protein fragment complementation assay Johnsson & Varshavsky, 1994, Proc Natl Acad Sci USA 91:10340-10344.; Pelletier et al., 1998, Proc Natl Acad Sci USA 95:12141-12146
  • yeast two hybrid screen Yields & Song, 1989, Nature 340:245-246
  • a polypeptide that comprises the Fc variants for example an antibody or Fc fusion, imparts some selectable growth advantage to a cell, this property may be used to screen or select for Fc variants.
  • screening methods are those that select for favorable members of a library. Said methods are herein referred to as “selection methods”, and these methods find use in the present invention for screening Fc variant libraries.
  • selection methods When libraries are screened using a selection method, only those members of a library that are favorable, that is which meet some selection criteria, are propagated, isolated, and/or observed. As will be appreciated, because only the most fit variants are observed, such methods enable the screening of libraries that are larger than those screenable by methods that assay the fitness of library members individually.
  • Selection is enabled by any method, technique, or fusion partner that links, covalently or noncovalently, the phenotype of an Fc variant with its genotype, that is the function of an Fc variant with the nucleic acid that encodes it.
  • phage display as a selection method is enabled by the fusion of library members to the gene III protein.
  • selection or isolation of variant proteins that meet some criteria, for example binding affinity for an Fc ⁇ R also selects for or isolates the nucleic acid that encodes it.
  • the gene or genes encoding Fc variants may then be amplified. This process of isolation and amplification, referred to as panning, may be repeated, allowing favorable Fc variants in the library to be enriched. Nucleic acid sequencing of the attached nucleic acid ultimately allows for gene identification.
  • phage display Phage display of peptides and proteins: a laboratory manual, Kay et al, 1996, Academic Press, San Diego, Calif., 1996; Lowman et al., 1991, Biochemistry 30:10832-10838; Smith, 1985, Science 228:1315-1317
  • phage display Phage display of peptides and proteins: a laboratory manual, Kay et al, 1996, Academic Press, San Diego, Calif., 1996; Lowman et al., 1991, Biochemistry 30:10832-10838; Smith, 1985, Science 228:1315-1317
  • its derivatives such as selective phage infection (Malmborg et al, 1997, J Mol Biol 273:544-551), selectively infective phage (Krebber et al., 1997, J Mol Biol 268:619-630), and delayed infectivity panning (Benhar et al., 2000, J Mol Biol 301:893-904)
  • cell surface display (Witrrup
  • selection methods include methods that do not rely on display, such as in vivo methods including but not limited to periplasmic expression and cytometric screening (Chen et al., 2001, Nat Biotechnol 19:537-542), the protein fragment complementation assay (Johnsson & Varshavsky, 1994, Proc Natl Acad Sci USA 91:10340-10344; Pelletier et al., 1998, Proc Natl Acad Sci USA 95:12141-12146), and the yeast two hybrid screen (Fields & Song, 1989, Nature 340:245-246) used in selection mode (Visintin et al., 1999, Proc Natl Acad Sci USA 96:11723-11728).
  • in vivo methods including but not limited to periplasmic expression and cytometric screening (Chen et al., 2001, Nat Biotechnol 19:537-542), the protein fragment complementation assay (Johnsson & Varshavsky, 1994, Proc Natl Ac
  • selection is enabled by a fusion partner that binds to a specific sequence on the expression vector, thus linking covalently or noncovalently the fusion partner and associated Fc variant library member with the nucleic acid that encodes them.
  • a fusion partner that binds to a specific sequence on the expression vector, thus linking covalently or noncovalently the fusion partner and associated Fc variant library member with the nucleic acid that encodes them.
  • in vivo selection can occur if expression of a polypeptide that comprises the Fc variant, such as an antibody or Fc fusion, imparts some growth, reproduction, or survival advantage to the cell.
  • directed evolution methods are those that include the mating or breading of favorable sequences during selection, sometimes with the incorporation of new mutations.
  • directed evolution methods can facilitate identification of the most favorable sequences in a library, and can increase the diversity of sequences that are screened.
  • a variety of directed evolution methods are known in the art that may find use in the present invention for screening Fc variant libraries, including but not limited to DNA shuffling (PCT WO 00/42561 A3; PCT WO 01/70947 A3), exon shuffling (U.S. Pat. No.
  • the biological properties of the antibodies and Fc fusions that comprise the Fc variants of the present invention may be characterized in cell, tissue, and whole organism experiments.
  • drugs are often tested in animals, including but not limited to mice, rats, rabbits, dogs, cats, pigs, and monkeys, in order to measure a drug's efficacy for treatment against a disease or disease model, or to measure a drug's pharmacokinetics, toxicity, and other properties. Said animals may be referred to as disease models.
  • Therapeutics are often tested in mice, including but not limited to nude mice, SCID mice, xenograft mice, and transgenic mice (including knockins and knockouts).
  • an antibody or Fc fusion of the present invention that is intended as an anti-cancer therapeutic may be tested in a mouse cancer model, for example a xenograft mouse.
  • a tumor or tumor cell line is grafted onto or injected into a mouse, and subsequently the mouse is treated with the therapeutic to determine the ability of the antibody or Fc fusion to reduce or inhibit cancer growth.
  • Such experimentation may provide meaningful data for determination of the potential of said antibody or Fc fusion to be used as a therapeutic.
  • Any organism, preferably mammals, may be used for testing.
  • monkeys can be suitable therapeutic models, and thus may be used to test the efficacy, toxicity, pharmacokinetics, or other property of the antibodies and Fc fusions of the present invention.
  • Tests of the antibodies and Fc fusions of the present invention in humans are ultimately required for approval as drugs, and thus of course these experiments are contemplated.
  • the antibodies and Fc fusions of the present invention may be tested in humans to determine their therapeutic efficacy, toxicity, pharmacokinetics, and/or other clinical properties.
  • Fc bound bound to the extracellular domain of Fc ⁇ Rs served as template structures for the computational screening calculations.
  • Publicly available Fc/Fc ⁇ R complex structures included pdb accession code 1E4K (Sondermann et al., 2000, Nature 406:267-273.), and pdb accession codes 1IIS and 1IIX (Radaev et al., 2001, J Biol Chem 276:16469-16477).
  • the extracellular regions of Fc ⁇ RIIIb and Fc ⁇ RIIIa are 96% identical, and therefore the use of the Fc/Fc ⁇ RIIIb structure is essentially equivalent to use of Fc ⁇ RIIIa.
  • D129G 1IIS and D129G 1E4K template structures were constructed by modeling a D129G mutation in the 1IIS and 1E4K structures (referred to as D129G 1IIS and D129G 1E4K template structures).
  • Variable positions and amino acids to be considered at those positions were chosen by visual inspection of the aforementioned Fc/Fc ⁇ R and Fc ⁇ R structures, and using solvent accessibility information and sequence information. Sequence information of Fcs and Fc ⁇ Rs was particularly useful for determining variable positions at which substitutions may provide distinguishing affinities between activating and inhibitory receptors. Virtually all C ⁇ 2 positions were screened computationally.
  • the Fc structure is a homodimer of two heavy chains (labeled chains A and B in the 1IIS, 1IIX, and 1E4K structures) that each include the hinge and C ⁇ 2-C ⁇ 3 domains (shown in FIG. 2).
  • Fc ⁇ R (labeled chain C in the 1IIS, 1IIX, and 1E4K structures) binds asymmetrically to the Fc homodimer
  • each chain was often considered separately in design calculations.
  • Fc and/or FcOR residues proximal to variable position residues were floated, that is the amino acid conformation but not the amino acid identity was allowed to vary in a protein design calculation to allow for conformational adjustments. These are indicated below the table for each set of calculations when relevant. Considered amino acids typically belonged to either the Core, Core XM, Surface, Boundary, Boundary XM, or All 20 classifications, unless noted otherwise.
  • Core alanine, valine, isoleucine, leucine, phenylalanine, tyrosine, tryptophan, and methionine
  • Core XM alanine, valine, isoleucine, leucine, phenylalanine, tyrosine, and tryptophan
  • Surface alanine, serine, threonine, aspartic acid, asparagine, glutamine, glutamic acid, arginine, lysine and histidine
  • Boundary alanine, serine, threonine, aspartic acid, asparagine, glutamine, glutamic acid, arginine, lysine, histidine
  • valine isoleucine, leucine, phenylalanine, tyrosine, tryptophan, and methionine
  • the predicted lowest energy sequence is not necessarily the true lowest energy sequence because of errors primarily in the scoring function, coupled with the fact that subtle conformational differences in proteins can result in dramatic differences in stability.
  • the predicted ground state sequence is likely to be close to the true ground state, and thus additional favorable diversity can be explored by evaluating the energy of sequences that are close in sequence space and energy around the predicted ground state.
  • a Monte Carlo (MC) algorithm was used to evaluate the energies of 1000 similar sequences around the predicted ground state. The number of sequences out of the 1000 sequence set that contain that amino acid at that variable position is referred to as the occupancy for that substitution, and this value may reflect how favorable that substitution is.
  • This computational screening method is substantially similar to Protein Design Automation® (PDA®) technology, as described in U.S. Pat. No. 6,188,965; U.S. Pat. No. 6,269,312; U.S. Pat. No. 6,403,312; U.S. Ser. No. 09/782,004; U.S. Ser. No. 09/927,790; U.S. Ser. No. 10/218,102; PCT WO 98/07254; PCT WO 01/40091; and PCT WO 02/25588, and for ease of description, is referred to as PDA® technology throughout the examples.
  • PDA® Protein Design Automation®
  • Tables that present the results of these calculations provide for each variable position on the designated chain (column 1) the amino acids considered at each variable position (column 2), the WT Fc amino acid identity at each variable position (column 3), the amino acid identity at each variable position in the DEE ground state sequence (column 4), and the set of amino acids and corresponding occupancy that are observed in the Monte Carlo output (column 5).
  • the 300 output sequences were clustered computationally into 10 groups of similar sequences using a nearest neighbor single linkage hierarchical clustering algorithm to assign sequences to related groups based on similarity scores (Diamond, 1995, Acta Cryst D 51:127-135). That is, all sequences within a group are most similar to all other sequences within the same group and less similar to sequences in other groups. The lowest energy sequence from each of these ten clusters are used as a representative of each group, and are presented as results.
  • This computational screening method is substantially similar to Sequence Prediction AlgorithmTM (SPATM) technology, as described in (Raha et al., 2000, Protein Sci 9:1106-1119); U.S. Ser. No. 09/877,695; and U.S. Ser. No. 10/071,859, and for ease of description, is referred to as SPATM technology throughout the examples.
  • SPATM Sequence Prediction AlgorithmTM
  • Tables that present the results of these calculations provide for each variable position on the designated chain (column 1) the amino acids considered at each variable position (column 2), the WT Fc amino acid identity at each variable position (column 3), and the amino acid identity at the variable positions for the lowest energy sequence from each cluster group (columns 4-13).
  • Tables 1-59 are broken down into two sets, as labeled below, PDA® and SPATM technology.
  • Column 4 of the PDA® tables show the frequency of each residue that occurs in the top 1000 sequences during that PDA® run.
  • L occurred 330 times in the top 1000 sequence
  • M occurred 302 times, etc.
  • compositions of the invention include antibodies that have any of the listed amino acid residues in the listed positions, either alone or in any combination (note preferred combinations are listed in the claims, the summary and the figures).
  • One preferred combination is the listed amino acids residues in the listed positions in a ground state (sometimes referred to herein as the “global solution”, as distinguished from the wild-type).
  • residue positions and particular amino acids at those residue positions may be combined between tables.
  • column 4 is a SPATM run that results in a protein with the six listed amino acids at the six listed positions (e.g. column 4 is a single protein with a wild-type sequence except for 239E, 265G, 267S, 269Y, 270T and 299S.
  • column 4 is a single protein with a wild-type sequence except for 239E, 265G, 267S, 269Y, 270T and 299S.
  • each of these individual proteins are included within the invention.
  • combinations between SPATM proteins, both within tables and between tables are also included.
  • each table shows the presence or absence of carbohydrate, but specifically included are the reverse sequences; e.g. Table 1 is listed for an aglycosylated variant, but these same amino acid changes can be done on a glycosylated variant.
  • each table lists the template structure used, as well as “floated” residues; for example, Table 2 used a PDA® run that floated C120, C132 and C134.
  • TABLE 1 Considered Ground Sequences Around Position Amino Acids WT State Ground State 328 A Boundary L L L: 330 M: 302 E: 111 K: 62 A: 45 Q: 39 D: 36 S: 30 T: 28 N: 10 R: 7 332 A Surface I R R: 247 K: 209 Q: 130 H: 95 E: 92 T: 59 D: 51 N: 51 S: 42 A: 24 328 B Boundary L L L: 321 M: 237 T: 166 K: 73 R: 72 S: 55 Q: 20 D: 17 E: 13 A: 12 V: 10 N: 4 332 B Surface I E E: 269 Q: 180 R: 145 K: 111 D: 97 T: 78 N: 65 S: 28 A: 14 H: 13
  • L235 on chain A serine is the lowest energy substitution
  • L235A is 0.9 kcal/mol less stable than L235S.
  • Extremely high energies were set to 20 kcal/mol for energies between 20-50 kcal/mol, and 50 kcal/mold for energies greater than 50 kcal/mol.
  • Favorable substitutions may be considered to be the lowest energy substitution for each position, and substitutions that have small energy differences from the lowest energy substitution, for example substitutions within 1-2, 1-3, 1-5, or 1-10 kcal/mol.
  • alemtuzumab (Campath®, a registered trademark of Ilex Pharmaceuticals LP).
  • Alemtuzumab binds a short linear epitope within its target antigen CD52 (Hale et al., 1990, Tissue Antigens 35:118-127; Hale, 1995, Immunotechnology 1:175-187).
  • Alemtuzumab has been chosen as the primary engineering template because its efficacy is due in part to its ability to recruit effector cells (Dyer et al., 1989, Blood 73:1431-1439; Friend et al., 1991, Transplant Proc 23:2253-2254; Hale et al., 1998, Blood 92:4581-4590; Glennie et al., 2000, Immunol Today 21:403-410), and because production and use of its antigen in binding assays are relatively straightforward.
  • V L -C L full length light
  • V H -C ⁇ 1-C ⁇ 2-C ⁇ 3 chain antibody genes for alemtuzumab, rituximab, and trastuzumab were constructed with convenient end restriction sites to facilitate subcloning.
  • the genes were ligated into the mammalian expression vector pcDNA3.1Zeo (Invitrogen).
  • the V H -C ⁇ 1-C ⁇ 2-C ⁇ 3 clone in pcDNA3.1zeo was used as a template for mutagenesis of the Fc region. Mutations were introduced into this clone using PCR-based mutagenesis techniques. Fc variants were sequenced to confirm the fidelity of the sequence.
  • Plasmids containing heavy chain gene (V H -C ⁇ 1-C ⁇ 2-C ⁇ 3) (wild-type or variants) were co-transfected with plasmid containing light chain gene (V L -C L ) into 293T cells. Media were harvested 5 days after transfection. Expression of immunoglobulin was monitored by screening the culture supernatant of transfectomas by western using peroxidase-conjugated goat-anti human IgG (Jackson lmmunoResearch, catalog # 109-035-088). FIG. 6 shows expression of wild-type alemtuzumab and variants 1 through 10 in 293T cells. Antibodies were purified from the supernatant using protein A affinity chromatography (Pierce, Catalog # 20334.
  • FIG. 7 shows results of the protein purification for WT alemtuzumab.
  • Antibody Fc variants showed similar expression and purification results to WT. Some Fc variants were deglycosylated in order to determine their solution and functional properties in the absence of carbohydrate.
  • purified alemtuzumab antibodies were incubated with peptide-N-glycosidase (PNGase F) at 37° C. for 24 h.
  • FIG. 8 presents an SDS PAGE gel confirming deglycosylation for several Fc variants and WT alemtuzumab.
  • FIG. 10 presents an SDS PAGE gel that shows the results of expression and purification of human V158 Fc ⁇ RIIIa.
  • the extracellular region of this receptor was obtained by PCR from a clone obtained from the Mammalian Gene Collection (MGC:22630). The receptor was fused with glutathione S-Transferase (GST) to enable screening. Tagged Fc ⁇ RIIIa was transfected in 293T cells, and media containing secreted Fc ⁇ RIIIa were harvested 3 days later and purified. For western analysis, membrane was probed with anti-GST antibody.
  • Binding affinity to Fc ⁇ RIIIa and Fc ⁇ RIIb was measured for all designed Fc variants using an AlphaScreenTM assay (Amplified Luminescent Proximity Homogeneous Assay (ALPHA), PerkinElmer, Wellesley, Mass.), a bead-based non-radioactive luminescent proximity assay. Laser excitation of a donor bead excites oxygen, which if sufficiently close to the acceptor bead generates a cascade of chemiluminescent events, ultimately leading to fluorescence emission at 520-620 nm. The AlphaScreenTM assay was applied as a competition assay for screening Fc variants.
  • AlphaScreenTM assay Anamplified Luminescent Proximity Homogeneous Assay (ALPHA), PerkinElmer, Wellesley, Mass.
  • WT alemtuzumab antibody was biotinylated by standard methods for attachment to streptavidin donor beads, and GST-tagged Fc ⁇ R was bound to glutathione chelate acceptor beads. In the absence of competing Fc variants, WT antibody and Fc ⁇ R interact and produce a signal at 520-620 nm. Addition of untagged Fc variant competes with the WT Fc/Fc ⁇ R interaction, reducing fluorescence quantitatively to enable determination of relative binding affinities. All Fc variants were screened for V158 Fc ⁇ RIIIa binding using the AlphaScreenTM assay. Select Fc variants were subsequently screened for binding to Fc ⁇ RIIb, as well as other Fc ⁇ Rs and Fc ligands.
  • FIG. 11 shows AlphaScreenTM data for binding to human V158 Fc ⁇ RIIIa by select Fc variants.
  • the binding data were normalized to the maximum and minimum luminescence signal provided by the baselines at low and high concentrations of competitor antibody respectively.
  • the data were fit to a one site competition model using nonlinear regression, and these fits are represented by the curves in the figure. These fits provide the inhibitory concentration 50% (IC50) (i.e. the concentration required for 50% inhibition) for each antibody, illustrated by the dotted lines in FIG. 11, thus enabling the relative binding affinities of Fc variants to be quantitatively determined.
  • IC50 inhibitory concentration 50%
  • Table 61 presents the fold-enhancement or fold-reduction relative to the parent antibody for binding of Fc variants to human V158 Fc ⁇ RIIIa (column 3) and human Fc ⁇ RIIb (column 4), as determined by the AlphaScreenTM assay.
  • a fold above 1 indicates an enhancement in binding affinity
  • a fold below 1 indicates a reduction in binding affinity relative to WT Fc. All data were obtained in the context of alemtuzumab, except for those indicated with an asterix (*), which were tested in the context of trastuzumab.
  • Fc variants A number of promising Fc variants with optimized properties were obtained from the Fc ⁇ RIIIa and Fc ⁇ RIIb screen.
  • Table 61 provides Fc variants that bind more tightly to Fc ⁇ RIIIa, and thus are candidates for improving the effector function of antibodies and Fc fusions. These include a number of variants that comprise substitutions at 239, 264, 330, and 332.
  • FIG. 13 shows AlphaScreenTM binding data for some of these Fc variants. The majority of these Fc variants provide substantially greater Fc ⁇ RIIIa binding enhancements over S298A/E333A/K334A.
  • Fc variants have been obtained that show differentially enhanced binding to Fc ⁇ RIIIa over Fc ⁇ RIIb. As discussed, optimal effector function may result from Fc variants wherein affinity for activating Fc ⁇ Rs is greater than affinity for the inhibitory Fc ⁇ RIIb.
  • AlphaScreenTM data directly comparing binding to Fc ⁇ RIIIa and Fc ⁇ RIIb for two Fc variants with this specificity profile are shown in FIGS. 16 a and 16 b.
  • This concept can be defined quantitatively as the fold-enhancement or -reduction of the activating F ⁇ yR (Table 61, column 3) divided by the fold-enhancement or -reduction of the inhibitory Fc ⁇ R (Table 61, column 4), herein referred to as the Fc ⁇ RIIIa-fold:Fc ⁇ RIIb-fold ratio. This value provided in Column 5 in Table 61. Table 61 shows that Fc variants provide this specificity profile, with a Fc ⁇ RIIIa-fold:Fc ⁇ RIIb-fold ratio as high as 86:1.
  • FIG. 18 shows AlphaScreenTM data for binding of select Fc variants to human R131 Fc ⁇ RIIa. As can be seen, those aforementioned variants with favorable binding enhancements and specificity profiles also show enhanced binding to this activating receptor.
  • Fc ⁇ RIIIa, Fc ⁇ RIIb, and Fc ⁇ RIIc for screening is not meant to constrain experimental testing to these particular Fc ⁇ Rs; other Fc ⁇ Rs are contemplated for screening, including but not limited to the myriad isoforms and allotypes of Fc ⁇ RI, Fc ⁇ RII, and Fc ⁇ RIII from humans, mice, rats, monkeys, and the like, as previously described.
  • the Fc ⁇ R binding data provided in FIGS. 11 - 18 and Table 61 indicate that a number of substitions at positions 234, 235, 239, 240, 243, 264, 266, 325, 328, 330, and 332 are promising candidates for improving the effector function of antibodies and Fc fusions. Because combinations of some of these substitutions have typically resulted in additive or synergistic binding improvements, it is anticipated that as yet unexplored combinations of the Fc variants provided in Table 61 will also provide favorable results. Thus all combinations of the Fc variants in Table 61 are contemplated.
  • Fc variants provide stability and solubility enhancements in the absence of carbohydrate.
  • Fc variants F241E/F243R/V262E/V264R, F241E/F243Q/V262/V264E, F241R/F243Q/V262T/V264R, and F241E/F243Y/V262T/V264R show stronger binding to Fc ⁇ RIIIa than in glycosylated form, as shown by the AlphaScreenTM data in FIG. 21. This result indicates that these are key positions for optimization of the structure, stability, solubility, and function of aglycosylated Fc.
  • Fc-mediated effector function is the affinity of Fc for both V158 and F158 polymorphic forms of Fc ⁇ RIIIa.
  • AlphaScreenTM data comparing binding of select variants to the two receptor allotypes are shown in FIG. 22 a (V158 Fc ⁇ RIIIa) and FIG. 22 b (F158 Fc ⁇ RIIIa). As can be seen, all variants improve binding to both Fc ⁇ RIIIa allotypes.
  • Binding constants were obtained from fitting the data using standard curve-fitting methods.
  • Table 62 presents dissociation constants (Kd) for binding of select Fc variants to V158 Fc ⁇ RIIIa and F158 Fc ⁇ RIIIa obtained using SPR, and compares these with IC50s obtained from the AlphaScreenTM assay. By dividing the Kd and IC50 for each variant by that of WT alemtuzumab, the fold-improvements over WT (Fold) are obtained.
  • FIGS. 23 a - 23 d show the Kd-IC50 correlations for binding to V158 Fc ⁇ RIIIa and F158 Fc ⁇ RIIIa respectively, and FIGS.
  • 23 c and 23 d show the fold-improvement correlations for binding to V158 Fc ⁇ RIIIa and F158 Fc ⁇ RIIIa respectively.
  • ADCC was measured using the DELFIA® EuTDA-based cytotoxicity assay (Perkin Elmer, Mass.) with purified human peripheral blood monocytes (PBMCs) as effector cells.
  • Target cells were loaded with BATDA at 1 ⁇ 10 6 cells/ml, washed 4 times and seeded into 96-well plate at 10,000 cells/well. The target cells were then opsonized using Fc variant or WT antibodies at the indicated final concentration.
  • Human PBMCs were added at the indicated fold-excess of target cells and the plate was incubated at 37° C. for 4 hrs.
  • PBMCs were allotyped for the V158 or F158 Fc ⁇ RIIIa allotype using PCR.
  • FIG. 24 a is a bar graph showing the ADCC of these proteins at 10 ng/ml antibody. Results show that alemtuzumab Fc variants I332E, V264I, and I332E/V264I have substantially enhanced ADCC compared to WT alemtuzumab, with the relative ADCC enhancements proportional to their binding improvements to Fc ⁇ RIIIa as indicated by AlphaScreenTM assay and SPR. The dose dependence of ADCC on antibody concentration is shown in FIG. 24 b.
  • the log(EC50)s, obtained from the fits to the data, for WT, V264I/I332E, and S239D/I332E alemtuzumab are 0.99, 0.60, and 0.49 respectively, and therefore their respective EC50s are 9.9, 4.0, and 3.0.
  • V264I/I332E and S239E/I332E provide a 2.5-fold and 3.3-fold enhancement respectively in ADCC over WT alemtuzumab using PBMCs expressing heterozygous V158/F158 Fc ⁇ RIIIa.
  • Table 63 Fold Improvement log(EC50) EC50 (ng/ml) Over WT WT 0.99 9.9 V264I/I332E 0.60 4.0 2.5 S239D/I332E 0.49 3.0 3.3
  • FIG. 25 a presents a bar graph showing the ADCC of these proteins at 1 ng/ml antibody.
  • V264I/I332E rituximab provides substantially enhanced ADCC relative to WT rituximab, as well as superior ADCC to S298A/D333A/K334A, consistent with the Fc ⁇ RIIIa binding improvements observed by AlphaScreenTM assay and SPR.
  • FIG. 25 b shows the dose dependence of ADCC on antibody concentration. The EC50s obtained from the fits of these data and the relative fold-improvements in ADCC are provided in Table 64 below. As can be seen V264I/I332E rituximab provides an 11.3-fold enhancement in EC50 over WT for PBMCs expressing homozygous F158/F158 Fc ⁇ RIIIa.
  • FIG. 26 a shows a bar graph illustrating ADCC at 1 ng/ml antibody. Results indicate that V264I and V264I/I332E trastuzumab provide substantially enhanced ADCC compared to WT trastuzumab, with the relative ADCC enhancements proportional to their binding improvements to Fc ⁇ RIIIa as indicated by AlphaScreenTM assay and SPR.
  • FIG. 26 b shows the dose dependence of ADCC on antibody concentration. The EC50s obtained from the fits of these data and the relative fold-improvements in ADCC are provided in Table 65 below.
  • FIG. 26 c shows another set of dose response ADCC data at variable antibody concentrations for trastuzumab variants.
  • the EC50s obtained from the fits of these data and the relative fold-improvements in ADCC are provided in Table 66 below. Results show that trastuzumab Fc variants S239D/I332E, S239D/S298A/I332E, S239D/A330Y/I332E, and S239D/A330L/I332E/provide substantial ADCC enhancements relative to WT trastuzumab and S298A/E333A/K334A, consistent with the Fc ⁇ R binding data observed by the AlphaScreenTM assay and SPR.
  • trastuzumab shows the largest increase in effector function observed thus far, providing an approximate 50-fold enhancement in EC50 over WT for PBMCs expressing homozygous F158/F158 Fc ⁇ RIIIa.
  • Complement protein C1q binds to a site on Fc that is proximal to the Fc ⁇ R binding site, and therefore it was prudent to determine whether the Fc variants have maintained their capacity to recruit and activate complement.
  • the AlphaScreenTM assay was used to measure binding of select Fc variants to the complement protein C1q. The assay was carried out with biotinylated WT alemtuzumab antibody attached to streptavidin donor beads as described in Example 2, and using C1q coupled directly to acceptor beads. Binding data of select Fc variants shown in FIG. 27 a indicate that C1q binding is uncompromised.
  • bacterial protein A binds to the Fc region between the C ⁇ 2 and C ⁇ 3 domains, and is frequently employed for antibody purification.
  • the AlphaScreenTM assay was used to measure binding of select Fc variants to the protein A using biotinylated WT alemtuzumab antibody attached to streptavidin donor beads as described in Example 2, and using protein A coupled directly to acceptor beads.
  • the binding data shown in FIG. 28 for select Fc variants indicate that the capacity of the Fc variants to bind protein A is uncompromised.
  • optimization of Fc to nonhuman Fc ⁇ Rs may be useful for experimentally testing Fc variants in animal models.
  • mice for example nude mice, SCID mice, xenograft mice, and/or transgenic mice
  • antibodies and Fc fusions that comprise Fc variants that are optimized for one or more mouse Fc ⁇ Rs may provide valuable information with regard to efficacy, mechanism of action, and the like.
  • affinity of select Fc variants for mouse Fc ⁇ RIII was measured using the AlphaScreenTM assay.
  • the AlphaScreenTM assay was carried out using biotinylated WT alemtuzumab attached to streptavidin donor beads as described in Example 2, and GST-tagged mouse Fc ⁇ RIII bound to glutathione chelate acceptor beads, expressed and purified as described in Example 2. These binding data are shown in FIG. 29. Results show that some Fc variants that enhance binding to human Fc ⁇ RIIIa also enhance binding to mouse Fc ⁇ RIII. This result indicates that the Fc variants of the present invention, or other Fc variants that are optimized for nonhuman Fc ⁇ Rs, may find use in experiments that use animal models.
  • FIG. 30 shows AlphaScreenTM data comparing binding of CHO- and 293T-expressed Fc variant and WT alemtuzumab to human V158 Fc ⁇ RIIIa. The results indicate that the Fc variants of the present invention show comparable Fc ⁇ R binding enhancements whether expressed in 293T or CHO.
  • a number of Fc variants described in the present invention have significant potential for improving the therapeutic efficacy of anticancer antibodies.
  • a number of Fc variants of the present invention have been incorporated into the sequence of the antibody rituximab.
  • the WT rituximab light chain and heavy chain, described in U.S. Pat. No. 5,736,137, are provided in FIGS. 31 a and 32 b.
  • the improved anti-CD20 antibody sequences are provided in FIG. 31 c.
  • the improved anti-CD20 antibody sequences comprise at least non-WT amino acid selected from the group consisting of X 1 , X 2 , X 3 , X 4 , X 5 , and X 6 .
  • These improved anti-CD20 antibody sequences may also comprise a substitution Z 1 .
  • the use of rituximab here is solely an example, and is not meant to constrain application of the Fc variants to this antibody or any other particular antibody or Fc fusion.

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US10/672,280 US20040132101A1 (en) 2002-09-27 2003-09-26 Optimized Fc variants and methods for their generation
HUE11158851A HUE034268T2 (en) 2003-05-02 2004-03-26 Optimized Fc variants and procedures for their creation
DK11158851.3T DK2368911T3 (en) 2003-05-02 2004-03-26 Optimized Fc variants and methods for their formation
US10/822,231 US7317091B2 (en) 2002-03-01 2004-03-26 Optimized Fc variants
CA2916863A CA2916863C (en) 2003-05-02 2004-03-26 Optimized fc variants and methods for their generation
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PCT/US2004/009298 WO2004099249A2 (en) 2003-05-02 2004-03-26 Optimized fc variants and methods for their generation
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US11/124,620 US8188231B2 (en) 2002-09-27 2005-05-05 Optimized FC variants
US11/174,287 US8084582B2 (en) 2003-03-03 2005-06-30 Optimized anti-CD20 monoclonal antibodies having Fc variants
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US11/538,411 US20070275460A1 (en) 2003-03-03 2006-10-03 Fc Variants With Optimized Fc Receptor Binding Properties
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US11/841,821 US20080051563A1 (en) 2003-03-03 2007-08-20 Fc Variants with Increased Affinity for FcyRIIc
US11/841,654 US8937158B2 (en) 2003-03-03 2007-08-20 Fc variants with increased affinity for FcγRIIc
US11/857,310 US20080219974A1 (en) 2002-03-01 2007-09-18 Optimized antibodies that target hm1.24
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US11/927,444 US8124731B2 (en) 2002-03-01 2007-10-29 Optimized Fc variants and methods for their generation
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US11/981,823 US8039592B2 (en) 2002-09-27 2007-10-31 Optimized Fc variants and methods for their generation
US11/981,606 US20080242845A1 (en) 2002-09-27 2007-10-31 Fc variants with optimized properties
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US12/156,184 US20090042291A1 (en) 2002-03-01 2008-05-30 Optimized Fc variants
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US14/550,561 US9193798B2 (en) 2002-09-27 2014-11-21 Optimized Fc variants and methods for their generation
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US15/149,047 US10183999B2 (en) 2002-09-27 2016-05-06 Optimized Fc variants and methods for their generation
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