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Frontiers in Microbiology|April 5, 2018
PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector MachineBalachandran Manavalan, Tae H Shin, Gwang LeeFrontiers in Pharmacology|April 12, 2018
AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random ForestBalachandran Manavalan, Tae H Shin, Myeong O Kim, et al.Methods (San Diego, Calif.)|January 11, 2025
AntiT2DMP-Pred: Leveraging feature fusion and optimization for superior machine learning prediction of type 2 diabetes mellitusShaherin Basith, Balachandran Manavalan, Gwang LeeComputers in Biology and Medicine|November 29, 2022
Amyotrophic lateral sclerosis disease-related mutations disrupt the dimerization of superoxide dismutase 1 - A comparative molecular dynamics simulation studyShaherin Basith, Balachandran Manavalan, Gwang LeeBriefings in Bioinformatics|September 17, 2021
STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site predictionShaherin Basith, Gwang Lee, Balachandran ManavalanComputers in Biology and Medicine|November 21, 2023
Unveiling local and global conformational changes and allosteric communications in SOD1 systems using molecular dynamics simulation and network analysesShaherin Basith, Balachandran Manavalan, Gwang LeeBriefings in Bioinformatics|October 1, 2021
Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2Balachandran Manavalan, Shaherin Basith, Gwang LeeOncotarget|February 9, 2018
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forestBalachandran Manavalan, Tae Hwan Shin, Gwang LeeJournal of Molecular Recognition : JMR|April 8, 2011
Molecular modeling-based evaluation of dual function of IκBζ ankyrin repeat domain in toll-like receptor signalingBalachandran Manavalan, Rajivgandhi Govindaraj, Gwang Lee, et al.Plos One|September 30, 2010
Molecular modeling-based evaluation of hTLR10 and identification of potential ligands in Toll-like receptor signalingRajiv Gandhi Govindaraj, Balachandran Manavalan, Gwang Lee, et al.Pageof 24