Literature DB >> 1603811

Monte Carlo docking of oligopeptides to proteins.

A Caflisch1, P Niederer, M Anliker.   

Abstract

A new two-step procedure has been developed for the docking of flexible oligopeptide chains of unknown conformation to static proteins of known structure. In the first step positions and conformations are sampled and the association energy minimized starting from an approximate preselected docking position. The resulting conformations are further optimized in the second step by a Metropolis Monte Carlo minimization, which optimizes each of these structures. The method has been tested on the HIV-1 aspartic proteinase complex with an inhibitor, whose crystallographic structure is known at 2.3 A resolution. Furthermore, the application of this method to the docking of the hendecapeptide 58-68 of the influenza A virus matrix protein to the HLA-A2 molecule produced results which are in agreement with experimental observations in identifying side chains critical for T cell recognition and residues responsible of MHC protein binding.

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Year:  1992        PMID: 1603811     DOI: 10.1002/prot.340130305

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  11 in total

1.  Deciphering common failures in molecular docking of ligand-protein complexes.

Authors:  G M Verkhivker; D Bouzida; D K Gehlhaar; P A Rejto; S Arthurs; A B Colson; S T Freer; V Larson; B A Luty; T Marrone; P W Rose
Journal:  J Comput Aided Mol Des       Date:  2000-11       Impact factor: 3.686

2.  MCDOCK: a Monte Carlo simulation approach to the molecular docking problem.

Authors:  M Liu; S Wang
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

Review 3.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

4.  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

5.  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

Review 6.  Hierarchical docking of databases of multiple ligand conformations.

Authors:  David M Lorber; Brian K Shoichet
Journal:  Curr Top Med Chem       Date:  2005       Impact factor: 3.295

7.  Reaching the global minimum in docking simulations: a Monte Carlo energy minimization approach using Bezier splines.

Authors:  J Y Trosset; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-07       Impact factor: 11.205

8.  Flexible ligand docking using conformational ensembles.

Authors:  D M Lorber; B K Shoichet
Journal:  Protein Sci       Date:  1998-04       Impact factor: 6.725

9.  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

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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