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Shaherin Basith
Shaherin Basith
Research Professor, Ajou University School of Medicine
Verified email at aumc.ac.kr - Homepage
Title
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Cited by
Year
Roles of toll-like receptors in cancer: a double-edged sword for defense and offense
S Basith, B Manavalan, TH Yoo, SG Kim, S Choi
Archives of pharmacal research 35, 1297-1316, 2012
2522012
Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
S Basith, B Manavalan, T Hwan Shin, G Lee
Medicinal research reviews 40 (4), 1276-1314, 2020
2192020
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
B Manavalan, S Basith, TH Shin, L Wei, G Lee
Bioinformatics 35 (16), 2757-2765, 2019
2062019
MLACP: machine-learning-based prediction of anticancer peptides
B Manavalan, S Basith, TH Shin, S Choi, MO Kim, G Lee
Oncotarget 8 (44), 77121, 2017
1992017
Meta-4mCpred: a sequence-based meta-predictor for accurate DNA 4mC site prediction using effective feature representation
B Manavalan, S Basith, TH Shin, L Wei, G Lee
Molecular Therapy-Nucleic Acids 16, 733-744, 2019
1972019
Harnessing the therapeutic potential of capsaicin and its analogues in pain and other diseases
S Basith, M Cui, S Hong, S Choi
Molecules 21 (8), 966, 2016
1852016
Negative regulatory approaches to the attenuation of Toll-like receptor signaling
MA Anwar, S Basith, S Choi
Experimental & molecular medicine 45 (2), e11-e11, 2013
1772013
Exploring G protein-coupled receptors (GPCRs) ligand space via cheminformatics approaches: impact on rational drug design
S Basith, M Cui, SJY Macalino, J Park, NAB Clavio, S Kang, S Choi
Frontiers in pharmacology 9, 338587, 2018
1732018
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
MM Hasan, N Schaduangrat, S Basith, G Lee, W Shoombuatong, ...
Bioinformatics 36 (11), 3350-3356, 2020
1592020
Toll-like receptor modulators: a patent review (2006–2010)
S Basith, B Manavalan, G Lee, SG Kim, S Choi
Expert opinion on therapeutic patents 21 (6), 927-944, 2011
1422011
SDM6A: a web-based integrative machine-learning framework for predicting 6mA sites in the rice genome
S Basith, B Manavalan, TH Shin, G Lee
Molecular Therapy-Nucleic Acids 18, 131-141, 2019
1392019
Similar structures but different roles–an updated perspective on TLR structures
B Manavalan, S Basith, S Choi
Frontiers in physiology 2, 11357, 2011
1232011
Evolution of in silico strategies for protein-protein interaction drug discovery
SJY Macalino, S Basith, NAB Clavio, H Chang, S Kang, S Choi
Molecules 23 (8), 1963, 2018
1082018
iGHBP: computational identification of growth hormone binding proteins from sequences using extremely randomised tree
S Basith, B Manavalan, TH Shin, G Lee
Computational and structural biotechnology journal 16, 412-420, 2018
1072018
Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine …
MM Hasan, S Basith, MS Khatun, G Lee, B Manavalan, H Kurata
Briefings in Bioinformatics 22 (3), bbaa202, 2021
1042021
Metabolome changes in cerebral ischemia
TH Shin, DY Lee, S Basith, B Manavalan, MJ Paik, I Rybinnik, ...
Cells 9 (7), 1630, 2020
1002020
Recent Advances in Structure-Based Drug Design Targeting Class A G Protein-Coupled Receptors Utilizing Crystal Structures and Computational Simulations
Y Lee, S Basith, S Choi
Journal of Medicinal Chemistry 61 (1), 1-46, 2018
972018
AtbPpred: A robust sequence-based prediction of anti-tubercular peptides using extremely randomized trees
B Manavalan, S Basith, TH Shin, L Wei, G Lee
Computational and Structural Biotechnology Journal, 2019
912019
Therapeutic applications of nucleic acids and their analogues in Toll-like receptor signaling
V Gosu, S Basith, OP Kwon, S Choi
Molecules 17 (11), 13503-13529, 2012
862012
4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-Methylcytosine Sites in the Mouse Genome
B Manavalan, S Basith, TH Shin, DY Lee, L Wei, G Lee
Cells 8 (11), 1332, 2019
832019
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