Physics and chemistry-driven artificial neural network for predicting bioactivity of peptides and proteins and their design

DOI10.1016/j.jtbi.2008.08.028zbMath1400.92188OpenAlexW2086596967WikidataQ45964367 ScholiaQ45964367MaRDI QIDQ1617368

Ri-Bo Huang, Qi-Shi Du, Hang Wei, Yu-Tuo Wei, Kuo-Chen Chou, Zong-Wen Pang

Publication date: 8 November 2018

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2008.08.028

zbMATH Keywords

amino acidsQSARANNbioactivity predictionhuman lysozyme

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40)

Related Items (3)

Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction ⋮ Constructing a linear QSAR for some metabolizable drugs by human or pig flavin-containing monooxygenases using some molecular features selected by a genetic algorithm trained SVM ⋮ A segmented principal component analysis -- regression approach to QSAR study of peptides

Uses Software

• Cell-PLoc
• SYBYL
• ProTherm
• Signal-CF
• PFRES
• SCPRED
• E-DRAGON

Cites Work

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• Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern
• The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition
• Modeling of pain using artificial neural networks
• Spots and stripes: the evolution of repetition in visual signal form
• Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition
• Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification
• Artificial neural networks can learn to estimate extinction rates from molecular phylogenies
• A modified Zeeman model for producing HRV signals and its application to ECG signal generation
• Novel hybrid method for the evaluation of parameters contributing in determination of protein structural classes
• Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes

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