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Bayesian network multi-classifiers for protein secondary structure prediction

✍ Scribed by Vı́ctor Robles; Pedro Larrañaga; José M. Peña; Ernestina Menasalvas; Marı́a S. Pérez; Vanessa Herves; Anita Wasilewska

Book ID: 113469386
Publisher: Elsevier Science
Year: 2004
Tongue: English
Weight: 311 KB
Volume: 31
Category: Article
ISSN: 0933-3657
DOI: 10.1016/j.artmed.2004.01.009

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## Abstract The neural network method was applied to the prediction of the content of protein secondary structure elements, including α‐helix, β‐strand, β‐bridge, 3~10~‐helix, π‐helix, H‐bonded turn, bend, and random coil. The “pair‐coupled amino acid composition” originally proposed by K. C. Chou