Prediction of interface residue based on the features of residue interaction network

DOI10.1016/J.JTBI.2017.08.014zbMath1393.92011OpenAlexW2747184243WikidataQ47721985 ScholiaQ47721985MaRDI QIDQ1747711

Shoba Ranganathan, Xiong Jiao

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.2017.08.014

zbMATH Keywords

random forestprotein-protein interactioninterface predictionnetwork feature

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Uses Software

• pSuc-Lys
• FreeSASA
• iDNA-Prot
• iPro54-PseKNC
• iPPI-Esml
• iLoc-Plant
• iPPBS-Opt
• AFP-Pred
• iSNO-AAPair
• iRNA-AI
• iRNA-PseColl
• iRNAm5C-PseDNC
• iRSpot-EL
• pLoc-mPlant
• 2L-piRNA

Cites Work

• pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
• Sequence-based predictor of ATP-binding residues using random forest and mrmr-IFS feature selection
• Some remarks on protein attribute prediction and pseudo amino acid composition
• Prediction of protein-protein interaction sites using patch-based residue characterization
• Residue interaction network analysis of Dronpa and a DNA clamp
• Random forests

This page was built for publication: Prediction of interface residue based on the features of residue interaction network