Discriminating bioluminescent proteins by incorporating average chemical shift and evolutionary information into the general form of Chou's pseudo amino acid composition

DOI10.1016/j.jtbi.2013.06.003zbMath1397.92524OpenAlexW2002573639WikidataQ50904851 ScholiaQ50904851MaRDI QIDQ1790807

Qian-Zhong Li, Guo-Liang Fan

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.2013.06.003

zbMATH Keywords

auto covariancejackknife validationreduced amino acid alphabetincrement of diversity

Mathematics Subject Classification ID

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

Related Items

Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition

Uses Software

• LIBSVM
• Cell-PLoc
• PseAAC
• propy
• PseAAC-Builder
• iLoc-Hum
• iLoc-Euk
• iRSpot-PseDNC
• iSNO-PseAAC
• iNuc-PhysChem
• Euk-mPLoc
• BLProt

Cites Work

• Unnamed Item
• Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
• Some remarks on protein attribute prediction and pseudo amino acid composition
• Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou's pseudo amino acid composition
• Prediction of GABA\(_{\mathrm A}\) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
• Predicting mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition
• Identify catalytic triads of serine hydrolases by support vector machines