Literature DB >> 8819160

Free energy mapping of class I MHC molecules and structural determination of bound peptides.

U Sezerman1, S Vajda, C DeLisi.   

Abstract

Free energy maps of the binding site are constructed for class I major histocompatibility complex (MHC) proteins, by rotating and translating amino acid probes along the cleft, and performing a side-chain conformational search at each position. The free energy maps are used to determine favorable residue positions that are then combined to form docked peptide conformations. Because the generic backbone structural motif of peptides bound to class I MHC is known, the mapping is restricted to appropriate regions of the site, but allows for the sometimes substantial variations in backbone and side-chain conformations. In a test demonstrating the quality of predictions for a known MHC site using only a rotational and conformational search, we started from the crystal structure of the HIV-1 gp120/HLA-A2 complex, and predicted the HLA-A2 bound structures of peptides from the influenza matrix protein, the HIV-1 reverse transcriptase, and the human T cell leukemia virus. The calculated peptides are at 1.6, 1.3, and 1.4 A all-atom RMSDs from their respective crystal structures (Madden DR, Garboczi DN, Wiley DC, 1993). A further test, which also included a local translational search, predicted structures across MHCs. In particular, we obtained the Kb/SEV-9 complex (Fremont DH et al., 1992, Science 257:919-927) starting with the complex between HLA-B27 and a generic peptide (Madden DR, Gorga JC, Strominger JL, Wiley DC, 1991, Nature (Lond) 353:321-325), with an all-atom RMSD of 1.2 A, indicating that the docking procedure is essentially as effective for predictions across MHCs as it is for determinations within the same MHC, although at substantially greater computational cost. The requirements for further improvement in accuracy are identified and discussed briefly.

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Year:  1996        PMID: 8819160      PMCID: PMC2143467          DOI: 10.1002/pro.5560050706

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  18 in total

1.  Crystal structures of two viral peptides in complex with murine MHC class I H-2Kb.

Authors:  D H Fremont; M Matsumura; E A Stura; P A Peterson; I A Wilson
Journal:  Science       Date:  1992-08-14       Impact factor: 47.728

2.  Monte Carlo minimization with thermalization for global optimization of polypeptide conformations in cartesian coordinate space.

Authors:  A Caflisch; P Niederer; M Anliker
Journal:  Proteins       Date:  1992-09

3.  Distance-constrained molecular docking by simulated annealing.

Authors:  S Y Yue
Journal:  Protein Eng       Date:  1990-12

4.  A multiple-start Monte Carlo docking method.

Authors:  T N Hart; R J Read
Journal:  Proteins       Date:  1992-07

5.  Allele-specific motifs revealed by sequencing of self-peptides eluted from MHC molecules.

Authors:  K Falk; O Rötzschke; S Stevanović; G Jung; H G Rammensee
Journal:  Nature       Date:  1991-05-23       Impact factor: 49.962

6.  Functionality maps of binding sites: a multiple copy simultaneous search method.

Authors:  A Miranker; M Karplus
Journal:  Proteins       Date:  1991

7.  On the attribution of binding energy in antigen-antibody complexes McPC 603, D1.3, and HyHEL-5.

Authors:  J Novotny; R E Bruccoleri; F A Saul
Journal:  Biochemistry       Date:  1989-05-30       Impact factor: 3.162

8.  GroupBuild: a fragment-based method for de novo drug design.

Authors:  S H Rotstein; M A Murcko
Journal:  J Med Chem       Date:  1993-06-11       Impact factor: 7.446

Review 9.  MHC ligands and peptide motifs: first listing.

Authors:  H G Rammensee; T Friede; S Stevanoviíc
Journal:  Immunogenetics       Date:  1995       Impact factor: 2.846

10.  The structure of HLA-B27 reveals nonamer self-peptides bound in an extended conformation.

Authors:  D R Madden; J C Gorga; J L Strominger; D C Wiley
Journal:  Nature       Date:  1991-09-26       Impact factor: 49.962

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  18 in total

1.  Predicting sequences and structures of MHC-binding peptides: a computational combinatorial approach.

Authors:  J Zen; H R Treutlein; G B Rudy
Journal:  J Comput Aided Mol Des       Date:  2001-06       Impact factor: 3.686

2.  Modeling the structure of bound peptide ligands to major histocompatibility complex.

Authors:  Joo Chuan Tong; Tin Wee Tan; Shoba Ranganathan
Journal:  Protein Sci       Date:  2004-09       Impact factor: 6.725

3.  Design of enhanced agonists through the use of a new virtual screening method: application to peptides that bind class I major histocompatibility complex (MHC) molecules.

Authors:  Sergio Madurga; Ignasi Belda; Xavier Llorà; Ernest Giralt
Journal:  Protein Sci       Date:  2005-08       Impact factor: 6.725

4.  Large-scale characterization of peptide-MHC binding landscapes with structural simulations.

Authors:  Chen Yanover; Philip Bradley
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-08       Impact factor: 11.205

5.  Empirical free energy calculation: comparison to calorimetric data.

Authors:  Z Weng; C Delisi; S Vajda
Journal:  Protein Sci       Date:  1997-09       Impact factor: 6.725

6.  Consistency in structural energetics of protein folding and peptide recognition.

Authors:  C Zhang; J L Cornette; C Delisi
Journal:  Protein Sci       Date:  1997-05       Impact factor: 6.725

7.  Prediction of peptide binding to a major histocompatibility complex class I molecule based on docking simulation.

Authors:  Takeshi Ishikawa
Journal:  J Comput Aided Mol Des       Date:  2016-09-13       Impact factor: 3.686

8.  Proteomics in Vaccinology and Immunobiology: An Informatics Perspective of the Immunone.

Authors:  Irini A. Doytchinova; Paul Taylor; Darren R. Flower
Journal:  J Biomed Biotechnol       Date:  2003

9.  pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes.

Authors:  Javed Mohammed Khan; Shoba Ranganathan
Journal:  Immunome Res       Date:  2010-09-27

10.  T-cell epitope prediction and immune complex simulation using molecular dynamics: state of the art and persisting challenges.

Authors:  Matthew N Davies; Darren R Flower; Kanchan Phadwal; Isabel K Macdonald; Peter V Coveney; Shunzhou Wan
Journal:  Immunome Res       Date:  2010-11-03
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