Prediction of the parallel/antiparallel orientation of beta-strands using amino acid pairing preferences and support vector machines

DOI10.1016/j.jtbi.2009.12.019zbMath1406.92479OpenAlexW2064420001WikidataQ30383920 ScholiaQ30383920MaRDI QIDQ1715345

Ning Zhang, Tao Zhang, Guangyou Duan, Shan Gao, Ji-Shou Ruan

Publication date: 4 February 2019

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2009.12.019

zbMATH Keywords

machine learningprotein structureencoding matrix\(\beta\)-sheetstrand-to-strand interactions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Protein sequences, DNA sequences (92D20)

Related Items (1)

Studies on the rules of \(\beta\)-strand alignment in a protein \(\beta\)-sheet structure

Uses Software

• LIBSVM
• Cell-PLoc
• PISCES
• FUGUE
• PFRES
• FoldRate
• GenThreader

Cites Work

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• The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition
• Identify catalytic triads of serine hydrolases by support vector machines
• Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes
• \(\gamma\)-Turn types prediction in proteins using the support vector machines

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