Prediction of protein secondary structure content by artificial neural network

Copyright 2003 Wiley Periodicals, Inc. J Comput Chem 24: 727-731, 2003

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 24(2003), 6 vom: 30. Apr., Seite 727-31
1. Verfasser: Cai, Yu-Dong (VerfasserIn)
Weitere Verfasser: Liu, Xiao-Jun, Chou, Kuo-Chen
Format: Aufsatz
Sprache:English
Veröffentlicht: 2003
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Comparative Study Journal Article Amino Acids
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520 |a The neural network method was applied to the prediction of the content of protein secondary structure elements, including alpha-helix, beta-strand, beta-bridge, 3(10)-helix, pi-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 
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