Computational determination of side chain specificity for pockets in class I MHC molecules

Mol Immunol. 1996 Nov;33(16):1231-9. doi: 10.1016/s0161-5890(96)00090-9.

Abstract

We show that a rapidly executable computational procedure provides the basis for a predictive understanding of antigenic peptide side chain specificity, for binding to class I major histocompatibility complex (MHC) molecules. The procedure consists of a combined search to identify the joint conformations of peptide side chains and side chains comprising the MHC pocket, followed by conformational selection, using a target function, based on solvation energies and modified electrostatic energies. The method was applied to the B pocket region of five MHC molecules, which were chosen to encompass the full range of specificities displayed by anchors at peptide position 2. These were a medium hydrophobic residue (Leu or Met) for HLA-A*0201, a basic residue (Arg or Lys) for HLA-B*2705; a small hydrophobic residue (Val) for HLA-A*6801, an acidic residue (Glu) for HLA-B*4001 and a bulky residue (Tyr) for H-2K(d). The observed anchors are correctly predicted in each case. The agreement for HLA-B40 and H-2K(d) is especially promising, since their structures have not yet been determined experimentally. Because the experimental determination of motifs by elution is difficult and these calculations take only hours on a high speed workstation, the results open the possibility of routine determination of motifs computationally.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Amino Acid Sequence
  • Animals
  • Epitopes / chemistry*
  • HLA Antigens / chemistry*
  • Histocompatibility Antigens Class I / chemistry*
  • Humans
  • Mathematical Computing*
  • Mice
  • Models, Molecular
  • Molecular Sequence Data
  • Peptides / chemistry*
  • Peptides / immunology*
  • Protein Binding / immunology
  • Protein Conformation*
  • Static Electricity

Substances

  • Epitopes
  • HLA Antigens
  • Histocompatibility Antigens Class I
  • Peptides