Protein secondary structure: Entropy, correlations and prediction

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Abstract

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. © Oxford University Press 2004; all rights reserved.

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Crooks, G. E., & Brenner, S. E. (2004). Protein secondary structure: Entropy, correlations and prediction. Bioinformatics, 20(10), 1603–1611. https://doi.org/10.1093/bioinformatics/bth132

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