dorsal/arxiv
View SchemaProtein secondary structure prediction by combining hidden Markov models and sliding window scores
| Authors | Wei-Mou Zheng |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0310026 |
| URL | https://arxiv.org/abs/q-bio/0310026 |
Abstract
Instead of conformation states of single residues, refined conformation states of quintuplets are proposed to reflect conformation correlation. Simple hidden Markov models combining with sliding window scores are used 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 the length distribution. The window scores for residues are a window version of the Chou-Fasman propensities estimated under an approximation of conditional independency. Different window widths are examined, and the optimal width is found to be 17. A high accuracy about 70% is achieved.
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"abstract": "Instead of conformation states of single residues, refined conformation\nstates of quintuplets are proposed to reflect conformation correlation. Simple\nhidden Markov models combining with sliding window scores are used for\npredicting secondary structure of a protein from its amino acid sequence. Since\nthe length of protein conformation segments varies in a narrow range, we ignore\nthe duration effect of the length distribution. The window scores for residues\nare a window version of the Chou-Fasman propensities estimated under an\napproximation of conditional independency. Different window widths are\nexamined, and the optimal width is found to be 17. A high accuracy about 70% is\nachieved.",
"arxiv_id": "q-bio/0310026",
"authors": [
"Wei-Mou Zheng"
],
"categories": [
"q-bio.BM"
],
"title": "Protein secondary structure prediction by combining hidden Markov models and sliding window scores",
"url": "https://arxiv.org/abs/q-bio/0310026"
},
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"type": "Model",
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