Sequence-based discrimination of protein-RNA interacting residues using a probabilistic approach

DOI10.1016/j.jtbi.2017.01.040zbMath1369.92035OpenAlexW2580010853WikidataQ38991395 ScholiaQ38991395MaRDI QIDQ2400938

Tirtharaj Dash, Sukanta Mondal, Priyadarshini P. Pai

Publication date: 31 August 2017

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2017.01.040

zbMATH Keywords

conditional probabilityBayes' theoremcross estimationde novo approachprotein-RNA interactions

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40)

Related Items (2)

Prediction of RNA-protein interactions by combining deep convolutional neural network with feature selection ensemble method ⋮ DORAEMON

Uses Software

• pSuc-Lys
• Wenxiang
• Cd-hit
• PSI-BLAST
• BLAST
• 2D-MH
• iPro54-PseKNC
• iDrug-Target
• Prnam-PC
• iDNA-Methyl
• iPPBS-Opt
• iSuc-PseOpt
• iRSpot-PseDNC
• GitHub
• iPTM-mLys
• pSumo-CD
• iACP
• iCar-PseCp
• iHyd-PseCp
• iOri-Human
• iRNA-AI
• PINGU

Cites Work

• pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
• Some remarks on protein attribute prediction and pseudo amino acid composition
• 2D-MH: a web-server for generating graphic representation of protein sequences based on the physicochemical properties of their constituent amino acids
• The disposition of the LZCC protein residues in wenxiang diagram provides new insights into the protein-protein interaction mechanism
• Unnamed Item

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