Crystal Structure of an in Vitro Affinity- and Specificity-matured Anti-testosterone Fab in Complex with Testosterone

A highly selective, high affinity recombinant anti-testosterone Fab fragment has been generated by stepwise optimization of the complementarity-determining regions (CDRs) by random mutagenesis and phage display selection of a monoclonal antibody (3-C4F5). The best mutant (77 Fab) was obtained by evaluating the additivity effects of different independently selected CDR mutations. The 77 Fab contains 20 mutations and has about 40-fold increased affinity (K d = 3 × 10−10 m) when compared with the wild-type (3-C4F5) Fab. To obtain structural insight into factors, which are needed to improve binding properties, we have determined the crystal structures of the mutant 77 Fab fragment with (2.15 Å) and without testosterone (2.10 Å) and compared these with previously determined wild-type structures. The overall testosterone binding of the 77 Fab is similar to that of the wild-type. The improved affinity and specificity of the 77 Fab fragment are due to more comprehensive packing of the testosterone with the protein, which is the result of small structural changes within the variable domains. Only one important binding site residue Glu-95 of the heavy chain CDR3 is mutated to alanine in the 77 Fab fragment. This mutation, originally selected from the phage library based on improved specificity, provides more free space for the testosterone D-ring. The light chain CDR1 of 77 Fab containing eight mutations has the most significant effect on the improved affinity, although it has no direct contact with the testosterone. The mutations of CDR-L1 cause a rearrangement in its conformation, leading to an overall fine reshaping of the binding site.

[1]  J. Knowles,et al.  Searching sequence space by definably random mutagenesis: improving the catalytic potency of an enzyme. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[2]  D R Burton,et al.  CDR walking mutagenesis for the affinity maturation of a potent human anti-HIV-1 antibody into the picomolar range. , 1995, Journal of molecular biology.

[3]  C. Barbas,et al.  Assembly of combinatorial antibody libraries on phage surfaces: the gene III site. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[4]  G. Adams,et al.  Isolation of picomolar affinity anti-c-erbB-2 single-chain Fv by molecular evolution of the complementarity determining regions in the center of the antibody binding site. , 1996, Journal of molecular biology.

[5]  S. Phillips,et al.  Antibody fragment Fv4155 bound to two closely related steroid hormones: the structural basis of fine specificity. , 1997, Structure.

[6]  T. Lövgren,et al.  Expanding the conformational diversity by random insertions to CDRH2 results in improved anti-estradiol antibodies. , 1999, Journal of molecular biology.

[7]  J. Thornton,et al.  PROCHECK: a program to check the stereochemical quality of protein structures , 1993 .

[8]  R J Read,et al.  Crystallography & NMR system: A new software suite for macromolecular structure determination. , 1998, Acta crystallographica. Section D, Biological crystallography.

[9]  K. Takkinen,et al.  Specificity improvement of a recombinant anti-testosterone Fab fragment by CDRIII mutagenesis and phage display selection. , 1998, Protein engineering.

[10]  P. Schultz,et al.  Mutational analysis of the affinity maturation of antibody 48G7. , 1999, Journal of Molecular Biology.

[11]  S. Blacklow,et al.  A reliable method for random mutagenesis: the generation of mutant libraries using spiked oligodeoxyribonucleotide primers. , 1989, Gene.

[12]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[13]  A. Plückthun,et al.  Ribosome display efficiently selects and evolves high-affinity antibodies in vitro from immune libraries. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[14]  K. Takkinen,et al.  Fine tuning of an anti-testosterone antibody binding site by stepwise optimisation of the CDRs. , 1998, Immunotechnology : an international journal of immunological engineering.

[15]  C. Barbas,et al.  Phage display of combinatorial antibody libraries. , 1997, Current opinion in biotechnology.

[16]  A. D. de Vos,et al.  Selection and analysis of an optimized anti-VEGF antibody: crystal structure of an affinity-matured Fab in complex with antigen. , 1999, Journal of molecular biology.

[17]  P. Kraulis A program to produce both detailed and schematic plots of protein structures , 1991 .

[18]  G. Winter,et al.  Selection of phage antibodies by binding affinity. Mimicking affinity maturation. , 1992, Journal of molecular biology.

[19]  S V Evans,et al.  SETOR: hardware-lighted three-dimensional solid model representations of macromolecules. , 1993, Journal of molecular graphics.

[20]  G. Georgiou,et al.  Quantitative analysis of the effect of the mutation frequency on the affinity maturation of single chain Fv antibodies. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[21]  H R Hoogenboom,et al.  Designing and optimizing library selection strategies for generating high-affinity antibodies. , 1997, Trends in biotechnology.

[22]  I. Wilson,et al.  Structural analysis of antibody specificity. Detailed comparison of five Fab'-steroid complexes. , 1994, Journal of molecular biology.

[23]  J. Rouvinen,et al.  Structural Insights into Steroid Hormone Binding , 2002, The Journal of Biological Chemistry.

[24]  C. Barbas,et al.  In vitro selection and affinity maturation of antibodies from a naive combinatorial immunoglobulin library. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[25]  R. Karlsson,et al.  Kinetic analysis of monoclonal antibody-antigen interactions with a new biosensor based analytical system. , 1991, Journal of immunological methods.

[26]  K D Wittrup,et al.  Directed evolution of antibody fragments with monovalent femtomolar antigen-binding affinity. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[27]  M. N. Margolies,et al.  Complementary Combining Site Contact Residue Mutations of the Anti-digoxin Fab 26–10 Permit High Affinity Wild-type Binding* , 2002, The Journal of Biological Chemistry.

[28]  P. Chames,et al.  Improving the affinity and the fine specificity of an anti-cortisol antibody by parsimonious mutagenesis and phage display. , 1998, Journal of immunology.

[29]  A. Plückthun,et al.  In vitro selection and evolution of functional proteins by using ribosome display. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[30]  Ian A. Wilson,et al.  Molecular basis of crossreactivity and the limits of antibody–antigen complementarity , 1993, Nature.

[31]  Z. Otwinowski,et al.  [20] Processing of X-ray diffraction data collected in oscillation mode. , 1997, Methods in enzymology.

[32]  T. Teeri,et al.  An active single-chain antibody containing a cellulase linker domain is secreted by Escherichia coli. , 1991, Protein engineering.

[33]  G. Winter,et al.  Making antibodies by phage display technology. , 1994, Annual review of immunology.

[34]  X-ray studies of recombinant anti-testosterone Fab fragments: the use of PEG 3350 in crystallization. , 2000, Acta crystallographica. Section D, Biological crystallography.

[35]  J. Navaza,et al.  AMoRe: an automated package for molecular replacement , 1994 .

[36]  R. Karlsson,et al.  Real-time biospecific interaction analysis using surface plasmon resonance and a sensor chip technology. , 1991, BioTechniques.

[37]  J. Zou,et al.  Improved methods for building protein models in electron density maps and the location of errors in these models. , 1991, Acta crystallographica. Section A, Foundations of crystallography.