A high-accuracy protein structural class prediction algorithm using predicted secondary structural information

DOI10.1016/J.JTBI.2010.09.007zbMath1410.92087OpenAlexW2087317522WikidataQ51662362 ScholiaQ51662362MaRDI QIDQ1733003

Cangzhi Jia, Tian Liu

Publication date: 26 March 2019

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2010.09.007

zbMATH Keywords

support vector machinesecondary structurealternating frequencyparallel and anti-parallel \(\beta\)-sheetsprotein structural class prediction

Mathematics Subject Classification ID

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

Related Items (5)

Improving the prediction accuracy of protein structural class: approached with alternating word frequency and normalized Lempel-Ziv complexity ⋮ Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition ⋮ Two-intermediate model to characterize the structure of fast-folding proteins ⋮ An RNA secondary structure prediction method based on minimum and suboptimal free energy structures ⋮ Prediction of protein structure classes by incorporating different protein descriptors into general Chou's pseudo amino acid composition

Uses Software

• SCPRED

Cites Work

• Prediction of structural classes for protein sequences and domains--impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy

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