Molecular modeling of an antigenic complex between a viral peptide and a class I major histocompatibility glycoprotein

Computer simulation of the conformations of short antigenic peptides (5–10 residues) either free or bound to their receptor, the major histocompatibility complex (MHC)‐encoded glycoprotein H‐2 Ld, was employed to explain experimentally determined differences in the antigenic activities within a set of related peptides. Starting for each sequence from the most probable conformations disclosed by a pattern‐recognition technique, several energy‐minimized structures were subjected to molecular dynamics simulations (MD) either in vacuo or solvated by water molecules. Notably, antigenic potencies were found to correlate to the peptides propensity to form and maintain an overall α‐helical conformation through regular i,i+4 hydrogen bonds. Accordingly, less active or inactive peptides showed a strong tendency to form i,i+3 hydrogen bonds at their N‐terminal end. Experimental data documented that the C‐terminal residue is critical for interaction of the peptide with H‐2 Ld. This finding could be satisfactorily explained by a 3‐D Q.S.A.R. analysis postulating interactions between ligand and receptor by hydrophobic forces. A 3‐D model is proposed for the complex between a high‐affinity nonapeptide and the H‐2 Ld receptor. First, the H‐2 Ld molecule was built from X‐ray coordinates of two homologous proteins: HLA‐A2 and HLA‐Aw68, energy‐minimized and studied by MD simulations. With HLA‐A2 as template, the only realistic simulation was achieved for a solvated model with minor deviations of the MD mean structure from the X‐ray conformation. Water simulation of the H‐2 Ld protein in complex with the antigenic nonapeptide was then achieved with the template‐derived optimal parameters. The bound peptide retains mainly its α‐helical conformation and binds to hydrophobic residues of H‐2 Ld that correspond to highly polymorphic positions of MHC proteins. The orientation of the nonapeptide in the binding cleft is in accordance with the experimentally determined distribution of its MHC receptor‐binding residues (agretope residues). Thus, computer simulation was successfully employed to explain functional data and predicts α‐helical conformation for the bound peptide. © 1992 Wiley‐Liss, Inc.

[1]  U. Koszinowski,et al.  Redistribution of critical major histocompatibility complex and T cell receptor‐binding functions of residues in an antigenic sequence after biterminal substitution , 1991, European journal of immunology.

[2]  R M Zinkernagel,et al.  MHC-restricted cytotoxic T cells: studies on the biological role of polymorphic major transplantation antigens determining T-cell restriction-specificity, function, and responsiveness. , 1979, Advances in immunology.

[3]  S. Jonjić,et al.  Molecular basis for cytolytic T-lymphocyte recognition of the murine cytomegalovirus immediate-early protein pp89 , 1988, Journal of virology.

[4]  E. Unanue,et al.  Identification of the T-cell and Ia contact residues of a T-cell antigenic epitope , 1987, Nature.

[5]  E. Unanue,et al.  Binding of immunogenic peptides to Ia histocompatibility molecules , 1985, Nature.

[6]  H. Scheraga,et al.  Pattern recognition in the prediction of protein structure. I. Tripeptide conformational probabilities calculated from the amino acid sequence , 1989 .

[7]  J. Wendoloski,et al.  Molecular dynamics effects on protein electrostatics , 1989, Proteins.

[8]  Alan R. Fersht,et al.  Capping and α-helix stability , 1989, Nature.

[9]  W. L. Jorgensen,et al.  Comparison of simple potential functions for simulating liquid water , 1983 .

[10]  Kim H. Esbensen,et al.  Modelling data tables by principal components and PLS: class patterns and quantitative predictive relations , 1984 .

[11]  Alessandro Sette,et al.  Structural characteristics of an antigen required for its interaction with Ia and recognition by T cells , 1987, Nature.

[12]  P. Parham,et al.  Direct binding of influenza peptides to class I HLA molecules , 1989, Nature.

[13]  A. Townsend,et al.  Antigen recognition by class I-restricted T lymphocytes. , 1989, Annual review of immunology.

[14]  R. Schwartz T-lymphocyte recognition of antigen in association with gene products of the major histocompatibility complex. , 1985, Annual review of immunology.

[15]  A. McMichael,et al.  The epitopes of influenza nucleoprotein recognized by cytotoxic T lymphocytes can be defined with short synthetic peptides , 1986, Cell.

[16]  D. Wiley,et al.  Refined structure of the human histocompatibility antigen HLA-A2 at 2.6 A resolution. , 1991, Journal of molecular biology.

[17]  J. Claverie,et al.  MHC-antigen interaction: what does the T cell receptor see? , 1989, Advances in immunology.

[18]  M Krug,et al.  ADAPTU: animated dynamics analysis program at Tübingen University. , 1991, Journal of molecular graphics.

[19]  H. Scheraga,et al.  Statistical analysis of the physical properties of the 20 naturally occurring amino acids , 1985 .

[20]  A Sette,et al.  The Interaction between Protein‐Derived Immunogenic Peptides and Ia , 1987, Immunological reviews.

[21]  E. Unanue,et al.  Antigen presentation: comments on its regulation and mechanism. , 1984, Journal of immunology.

[22]  J L Cornette,et al.  Prediction of immunodominant helper T cell antigenic sites from the primary sequence. , 1987, Journal of immunology.

[23]  Hans-Georg Rammensee,et al.  Cellular peptide composition governed by major histocompatibility complex class I molecules , 1990, Nature.

[24]  M. A. Saper,et al.  Structure of the human class I histocompatibility antigen, HLA-A2 , 1987, Nature.

[25]  William L. Jorgensen,et al.  Molecular dynamics of proteins with the OPLS potential functions. Simulation of the third domain of silver pheasant ovomucoid in water , 1990 .

[26]  Hans-Georg Rammensee,et al.  Isolation and analysis of naturally processed viral peptides as recognized by cytotoxic T cells , 1990, Nature.

[27]  U. Singh,et al.  A NEW FORCE FIELD FOR MOLECULAR MECHANICAL SIMULATION OF NUCLEIC ACIDS AND PROTEINS , 1984 .

[28]  L Serrano,et al.  Capping and alpha-helix stability. , 1989, Nature.

[29]  P. Weber,et al.  Competitor analogs for defined T cell antigens: Peptides incorporating a putative binding motif and polyproline or polyglycine spacers , 1990, Cell.

[30]  H. Ljunggren,et al.  Association of class I major histocompatibility heavy and light chains induced by viral peptides , 1989, Nature.

[31]  Harold A. Scheraga,et al.  Pattern recognition in the prediction of protein structure. III. An importance‐sampling minimization procedure , 1989 .

[32]  J. Varga,et al.  Immune Recognition , 1977, The Yale Journal of Biology and Medicine.

[33]  Harold A. Scheraga,et al.  Pattern recognition in the prediction of protein structure. II. Chain conformation from a probability‐directed search procedure , 1989 .

[34]  S. Nathenson,et al.  Isolation of an endogenously processed immunodominant viral peptide from the class I H–2Kb molecule , 1990, Nature.

[35]  R. Cramer,et al.  Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins. , 1988, Journal of the American Chemical Society.

[36]  C DeLisi,et al.  T-cell antigenic sites tend to be amphipathic structures. , 1985, Proceedings of the National Academy of Sciences of the United States of America.

[37]  U. Koszinowski,et al.  Significance of herpesvirus immediate early gene expression in cellular immunity to cytomegalovirus infection , 1984, Nature.

[38]  J. Rothbard,et al.  A pentapeptide as minimal antigenic determinant for MHC class I-restricted T lymphocytes , 1989, Nature.

[39]  M. A. Saper,et al.  Specificity pockets for the side chains of peptide antigens in HLA-Aw68 , 1990, Nature.