dorsal/arxiv
View SchemaProtein secondary structure prediction based on quintuplets
| Authors | Wei-Mou Zheng |
|---|---|
| Categories | |
| ArXiv ID | physics/0307076 |
| URL | https://arxiv.org/abs/physics/0307076 |
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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"date_created": "2026-03-02T18:00:46.912000Z",
"date_modified": "2026-03-02T18:00:46.912000Z",
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"abstract": "Simple hidden Markov models are proposed for predicting secondary structure\nof a protein from its amino acid sequence. Since the length of protein\nconformation segments varies in a narrow range, we ignore the duration effect\nof length distribution, and focus on inclusion of short range correlations of\nresidues and of conformation states in the models. Conformation-independent and\n-dependent amino acid coarse-graining schemes are designed for the models by\nmeans of proper mutual information. We compare models of different level of\ncomplexity, and establish a practical model with a high prediction accuracy.",
"arxiv_id": "physics/0307076",
"authors": [
"Wei-Mou Zheng"
],
"categories": [
"physics.bio-ph",
"physics.data-an",
"q-bio.BM"
],
"title": "Protein secondary structure prediction based on quintuplets",
"url": "https://arxiv.org/abs/physics/0307076"
},
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"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
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