Highly accurate prediction of protein self-interactions by incorporating the average block and PSSM information into the general PseAAC

DOI10.1016/J.JTBI.2017.08.009zbMath1393.92016OpenAlexW2744066370WikidataQ38643386 ScholiaQ38643386MaRDI QIDQ1747718

Ji-Yong An, Yong-Tao Bian, Jing-Xuan Zhai, Tian-Jie Cao

Publication date: 27 April 2018

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2017.08.009

zbMATH Keywords

protein sequencesposition-specific scoring matrixrelevance vector machine

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40)

Related Items (2)

Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition ⋮ Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach

Uses Software

• LIBSVM
• UniProt
• Pse-in-One
• iPro54-PseKNC
• iPPI-Esml
• iRSpot-PseDNC
• iSNO-PseAAC
• iSNO-AAPair
• Pse-analysis
• iPTM-mLys
• iCar-PseCp
• iHyd-PseCp
• iPhos-PseEvo
• iPhos-PseEn
• RVMAB
• iRNA-AI
• iRNA-PseColl
• iATC-mHyb
• iRNAm5C-PseDNC
• iPreny-PseAAC
• iRSpot-EL
• Unb-DPC
• OOgenesis_Pred
• 2L-piRNA

Cites Work

• iPTM-mLys
• Some remarks on protein attribute prediction and pseudo amino acid composition
• A study of entropy/clarity of genetic sequences using metric spaces and fuzzy sets
• Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC
• 10.1162/15324430152748236

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