Literature DB >> 7507173

Prediction of protein side-chain conformations from local three-dimensional homology relationships.

C A Laughton1.   

Abstract

A method for predicting the conformations of protein side-chains, starting from main-chain co-ordinates alone, is described. The method involves the comparison of the local environment of each residue whose side-chain conformation is to be predicted with a database of local environments for the same residue type constructed from an analysis of high-resolution protein structures. Local environments are described in terms of the residue type and location in space of residues that interact with the side-chain of interest. The best (most three-dimensionally homologous) few matches to each residue are then input to a Monte-Carlo procedure to give a final predicted structure. The method has been tested on a selection of eight proteins, ranging in size from 46 to 323 amino acid residues. The average side-chain atom root-mean-square deviation between the actual and predicted structures is 1.71 A taken over all residues, and 1.00 A if restricted to buried residues. Over all residues, an average of 59.8% of all side-chain dihedral angles are predicted within +/- 30 degrees of the crystal structure values. Considering buried residues only, this rises to 79.6%.

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Year:  1994        PMID: 7507173     DOI: 10.1006/jmbi.1994.1059

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  5 in total

1.  A stochastic algorithm for global optimization and for best populations: a test case of side chains in proteins.

Authors:  Meir Glick; Anwar Rayan; Amiram Goldblum
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-15       Impact factor: 11.205

2.  A graph-theory algorithm for rapid protein side-chain prediction.

Authors:  Adrian A Canutescu; Andrew A Shelenkov; Roland L Dunbrack
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

3.  GEM: a Gaussian Evolutionary Method for predicting protein side-chain conformations.

Authors:  Jinn-Moon Yang; Chi-Hung Tsai; Ming-Jing Hwang; Huai-Kuang Tsai; Jenn-Kang Hwang; Cheng-Yan Kao
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

4.  Molecular modelling prediction of ligand binding site flexibility.

Authors:  Ami Yi-Ching Yang; Per Källblad; Ricardo L Mancera
Journal:  J Comput Aided Mol Des       Date:  2004-04       Impact factor: 3.686

5.  Quantifying side-chain conformational variations in protein structure.

Authors:  Zhichao Miao; Yang Cao
Journal:  Sci Rep       Date:  2016-11-15       Impact factor: 4.379

  5 in total

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