Interrogating noise in protein sequences from the perspective of protein-protein interactions prediction

DOI10.1016/j.jtbi.2012.09.007zbMath1397.92544OpenAlexW2021921455WikidataQ45960152 ScholiaQ45960152MaRDI QIDQ1790876

Chunhua Zhang, Xianwen Ren, Yongcui Wang, Nai-Yang Deng, Xiang-Sun Zhang

Publication date: 4 October 2018

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2012.09.007

zbMATH Keywords

bioinformaticsdenoisingmachine learningcomposition vector

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20)

Uses Software

• LIBSVM
• Cell-PLoc
• BaCelLo
• iLoc-Gpos
• iLoc-Hum
• iLoc-Euk
• Plant-mPLoc
• uShuffle

Cites Work

• Unnamed Item
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• Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition
• Some remarks on protein attribute prediction and pseudo amino acid composition
• Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses
• Prediction of GABA\(_{\mathrm A}\) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
• Adaptive compressive learning for prediction of protein-protein interactions from primary sequence
• The disposition of the LZCC protein residues in wenxiang diagram provides new insights into the protein-protein interaction mechanism
• Prediction of protein-protein interaction sites using patch-based residue characterization
• Bio-entity network for analysis of protein-protein interaction networks
• PROKARYOTIC PHYLOGENY BASED ON COMPLETE GENOMES WITHOUT SEQUENCE ALIGNMENT

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