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Prediction of protein secondary structure content by artificial neural network

✍ Scribed by Yu-Dong Cai; Xiao-Jun Liu; Kuo-Chen Chou

Publisher: John Wiley and Sons
Year: 2003
Tongue: English
Weight: 75 KB
Volume: 24
Category: Article
ISSN: 0192-8651
DOI: 10.1002/jcc.10222

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✦ Synopsis

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 [J Protein Chem 1999, 18, 473] was adopted as the input. Self‐consistency and independent‐dataset tests were used to appraise the performance of the neural network. Results of both tests indicated high performance of the method. © 2003 Wiley Periodicals, Inc. J Comput Chem 24: 727–731, 2003

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