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Computers in Biology and Medicine|August 24, 2023
ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview informationShaherin Basith, Nhat Truong Pham, Minkyung Song, et al.Expert Opinion on Therapeutic Patents|March 17, 2011
Toll-like receptor modulators: a patent review (2006-2010)Shaherin Basith, Balachandran Manavalan, Gwang Lee, et al.Plos One|January 5, 2011
Structure-function relationship of cytoplasmic and nuclear IκB proteins: an in silico analysisBalachandran Manavalan, Shaherin Basith, Yong-Min Choi, et al.Computational and Structural Biotechnology Journal|August 3, 2019
AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized TreesBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.Bioinformatics (Oxford, England)|December 28, 2018
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.Briefings in Bioinformatics|June 12, 2026
CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language modelsDuong Thanh Tran, Nhat Truong Pham, Gwang Lee, et al.Archives of Pharmacal Research|September 4, 2012
Roles of toll-like receptors in cancer: a double-edged sword for defense and offenseShaherin Basith, Balachandran Manavalan, Tae Hyeon Yoo, et al.Current Protein & Peptide Science|January 21, 2020
Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer PeptidesShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.Bioinformatics (Oxford, England)|March 8, 2020
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representationMd Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, et al.Current Medicinal Chemistry|September 3, 2021
Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation SitesShaherin Basith, Hye Jin Chang, Saraswathy Nithiyanandam, et al.Pageof 15