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PMID: 7507173 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

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

Journal of molecular biology ·Vol. 235 ·No. 3 ·1994-01-21 ·Pages 1088-97

Laughton CA

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%.

MeSH Terms
Aprotinin/chemistry,ultrastructure Computer Simulation Crystallography, X-Ray Flavodoxin/chemistry,ultrastructure Models, Molecular Models, Theoretical Monte Carlo Method Protein Structure, Tertiary Sequence Alignment Sequence Homology, Amino Acid Structure-Activity Relationship Thermodynamics
Chemicals
Flavodoxin Aprotinin
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Laughton C A
CRC Biomolecular Structure Unit, Institute of Cancer Research, Sutton, Surrey, U.K.
Article Info
Journal
Journal of molecular biology
Abbr.
J Mol Biol
ISSN
0022-2836
Published
1994-01-21
Pages
1088-97
Language
English
Region
England
NLM ID
2985088R
Subset
IM
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