Protein secondary structure prediction based on quintuplets

Wei-Mou Zheng

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Protein secondary structure prediction based on quintuplets

Wei-Mou Zheng

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Abstract

Simple hidden Markov models are proposed for predicting secondary structure of a protein from its amino acid sequence. Since the length of protein conformation segments varies in a narrow range, we ignore the duration effect of length distribution, and focus on inclusion of short range correlations of residues and of conformation states in the models. Conformation-independent and -dependent amino acid coarse-graining schemes are designed for the models by means of proper mutual information. We compare models of different level of complexity, and establish a practical model with a high prediction accuracy.

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Wei-Mou Zheng. 2003-07-16. Protein secondary structure prediction based on quintuplets. https://arxiv.org/abs/physics/0307076

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