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|a eng
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|a Cai, Yu-Dong
|e verfasserin
|4 aut
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|a Prediction of protein secondary structure content by artificial neural network
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|c 2003
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|a Text
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|a ohne Hilfsmittel zu benutzen
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|a Date Completed 28.10.2003
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|a Date Revised 10.12.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a Copyright 2003 Wiley Periodicals, Inc. J Comput Chem 24: 727-731, 2003
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|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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|a Comparative Study
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|a Journal Article
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|a Amino Acids
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|a Liu, Xiao-Jun
|e verfasserin
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|a Chou, Kuo-Chen
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of computational chemistry
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|g 24(2003), 6 vom: 30. Apr., Seite 727-31
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|x 0192-8651
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|g volume:24
|g year:2003
|g number:6
|g day:30
|g month:04
|g pages:727-31
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