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Computers in Biology and Medicine|October 23, 2024
mHPpred: Accurate identification of peptide hormones using multi-view feature learningShaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.International Journal of Biological Macromolecules|June 13, 2024
SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model featuresShaherin Basith, Nhat Truong Pham, Balachandran Manavalan, et al.Briefings in Bioinformatics|November 24, 2020
Computational prediction of species-specific yeast DNA replication origin via iterative feature representationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.Journal of Molecular Biology|June 6, 2022
THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine SitesWatshara Shoombuatong, Shaherin Basith, Thejkiran Pitti, et al.Molecular Therapy. Nucleic Acids|May 31, 2019
Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature RepresentationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.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.Briefings in Bioinformatics|July 6, 2021
Integrative machine learning framework for the identification of cell-specific enhancers from the human genomeShaherin Basith, Md Mehedi Hasan, Gwang Lee, 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.Pageof 26