A LATTICE MODEL FOR PROTEIN-STRUCTURE PREDICTION AT LOW RESOLUTION

被引:184
作者
HINDS, DA
LEVITT, M
机构
[1] Beckman Labs. for Structural Biology, Department of Cell Biology, Stanford Univ. School of Medicine, Stanford
关键词
PROTEIN FOLDING; TERTIARY STRUCTURE; CONFORMATIONAL SEARCH;
D O I
10.1073/pnas.89.7.2536
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The prediction of the folded structure of a protein from its sequence has proven to be a very difficult computational problem. We have developed an exceptionally simple representation of a polypeptide chain, with which we can enumerate all possible backbone conformations of small proteins. A protein is represented by a self-avoiding path of connected vertices on a tetrahedral lattice, with several amino acid residues assigned to each lattice vertex. For five small structurally dissimilar proteins, we find that we can separate native-like structures from the vast majority of non-native folds by using only simple structural and energetic criteria. This method demonstrates significant generality and predictive power without requiring foreknowledge of any native structural details.
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页码:2536 / 2540
页数:5
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