PROTEIN TOPOLOGY PREDICTION THROUGH CONSTRAINT-BASED SEARCH AND THE EVALUATION OF TOPOLOGICAL FOLDING RULES

被引:27
作者
CLARK, DA
SHIRAZI, J
RAWLINGS, CJ
机构
[1] Biomedical Computing Unit, Imperial Cancer Research Fund Laboratories, London WC2A 3PX, PO Box 123, Lincoln's Inn Fields
来源
PROTEIN ENGINEERING | 1991年 / 4卷 / 07期
关键词
CONSTRAINT-BASED SEARCH; CONSTRAINT SATISFACTION ALGORITHMS; LOGIC PROGRAMMING; PROTEIN TOPOLOGY PREDICTION;
D O I
10.1093/protein/4.7.751
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
An algorithm for predicting protein alpha/beta-sheet topologies from secondary structure and topological folding rules (constraints) has been developed and implemented in Prolog. This algorithm (CBS1) is based on constraint satisfaction and employs forward pruned breadth-first search and rotational invariance. CBS1 showed a 37-fold increase in efficiency over an exhaustive generate and test algorithm giving the same solution for a typical sheet of five strands whose topology was predicted from secondary structure with four topological folding constraints. Prolog specifications of a range of putative protein folding rules were then used to (i) replicate published protein topology predictions and (ii) validate these rules against known protein structures of nucleotide-binding domains. This demonstrated that (i) manual techniques for topology prediction can lead to non-exhaustive search and (ii) most of these protein folding principles were violated by specific proteins. Various extensions to the algorithm are discussed.
引用
收藏
页码:751 / 760
页数:10
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