Protein secondary structure: entropy, correlations and prediction

被引:58
|
作者
Crooks, GE [1 ]
Brenner, SE [1 ]
机构
[1] Univ Calif Berkeley, Dept Plant & Microbial Biol, Berkeley, CA 94720 USA
关键词
D O I
10.1093/bioinformatics/bth132
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Is protein secondary structure primarily determined by local interactions between residues closely spaced along the amino acid backbone or by non-local tertiary interactions? To answer this question, we measure the entropy densities of primary and secondary structure sequences, and the local inter-sequence mutual information density. Results: We find that the important inter-sequence interactions are short ranged, that correlations between neighboring amino acids are essentially uninformative and that only one-fourth of the total information needed to determine the secondary structure is available from local inter-sequence correlations. These observations support the view that the majority of most proteins fold via a cooperative process where secondary and tertiary structure form concurrently. Moreover, existing single-sequence secondary structure prediction algorithms are almost optimal, and we should not expect a dramatic improvement in prediction accuracy.
引用
收藏
页码:1603 / 1611
页数:9
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