RBSURFpred: modeling protein accessible surface area in real and binary space using regularized and optimized regression

DOI10.1016/J.JTBI.2017.12.029zbMath1397.92542OpenAlexW2782535789WikidataQ47228879 ScholiaQ47228879MaRDI QIDQ1635544

Md. Toukir Ahmed, Sumit Tarafder, Sumaiya Iqbal, Md Tamjidul Hoque, M. Sohel Rahman

Publication date: 7 June 2018

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2017.12.029

zbMATH Keywords

metaheuristicsprotein structureaccessible surface areaPSEErelative solvent accessibility

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20)

Related Items (1)

RBSURFpred

Uses Software

• ElemStatLearn
• DNdisorder
• DISOPRED
• iPro54-PseKNC
• iRSpot-TNCPseAAC
• iAMP-2L
• iPPBS-Opt
• iLoc-Hum
• iRSpot-PseDNC
• iSNO-PseAAC
• iSNO-AAPair
• iRNA-AI
• pLoc-mEuk
• iRNA-PseColl
• iRSpot-EL
• Euk-mPLoc
• Hum-mPLoc
• OnD-CRF
• NETASA

Cites Work

• Evolution strategies. A comprehensive introduction
• Some remarks on protein attribute prediction and pseudo amino acid composition
• The elements of statistical learning. Data mining, inference, and prediction

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