4.7 Article

Protein secondary structure: entropy, correlations and prediction

Journal

BIOINFORMATICS
Volume 20, Issue 10, Pages 1603-1611

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bth132

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Funding

  1. NHGRI NIH HHS [1-K22-HG00056] Funding Source: Medline

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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.

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