iPHLoc-ES: identification of bacteriophage protein locations using evolutionary and structural features

DOI10.1016/J.JTBI.2017.09.022zbMath1394.92003OpenAlexW2758933450WikidataQ41931034 ScholiaQ41931034MaRDI QIDQ1749068

Sanjay Saha, Alok Sharma, Abdollah Dehzangi, Swakkhar Shatabda

Publication date: 15 May 2018

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

Full work available at URL: http://hdl.handle.net/10072/355090

zbMATH Keywords

classificationproteinsfeature selectionphagelocations

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Computational methods for problems pertaining to biology (92-08)

Related Items (1)

CFSBoost: cumulative feature subspace boosting for drug-target interaction prediction

Uses Software

• PSI-BLAST
• BLAST
• UniProt
• Pse-in-One
• iLoc-Virus
• iLoc-Gpos
• Virus-ploc
• PseKNC
• GitHub
• iPTM-mLys
• pLoc-mAnimal
• pLoc-mVirus
• pLoc-mEuk
• POSSUM
• Unb-DPC
• OOgenesis_Pred
• pLoc-mPlant
• iPHLoc-ES
• SPIDER2
• PHYPred
• Phage_Finder
• VIRALpro
• PHASTER
• PHACTS
• Gpos-mPLoc
• Gneg-mPLoc
• Phast
• Gpos-PLoc

Cites Work

• iLoc-Virus
• Naïve Bayes classifier with feature selection to identify phage virion proteins
• Some remarks on protein attribute prediction and pseudo amino acid composition
• A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
• Gneg-mPLoc: a top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins
• \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
• Support-vector networks
• Stability Selection
• Gene selection for cancer classification using support vector machines

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