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Balachandran, Manavalan(Balachandran, Manavalan) Currently indexed
[School of Medicine / Graduate School of Medicine] - [Physiology]

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Showing results 1 to 49 of 49

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Pub YearTitleAJOU Author(s)
2022Accelerating bioactive peptide discovery via mutual information-based meta-learningBalachandran, Manavalan
2022SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino AcidsBalachandran, Manavalan
2022Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2Balachandran, Manavalan, Basith, Shaherin, 이광
2022STALLION: A stacking-based ensemble learning framework for prokaryotic lysine acetylation site predictionBalachandran, Manavalan, Basith, Shaherin, 이광
2021SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived informationBalachandran, Manavalan
2021Mapping the intramolecular communications among different glutamate dehydrogenase states using molecular dynamicsBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2021Silica-coated magnetic nanoparticles activate microglia and induce neurotoxic d-serine secretionBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2021Silica-coated magnetic-nanoparticle-induced cytotoxicity is reduced in microglia by glutathione and citrate identified using integrated omicsBalachandran, Manavalan, Basith, Shaherin, 강엽, 김아영, 백은주, 신태환, 이광
2021Decrease in membrane fluidity and traction force induced by silica-coated magnetic nanoparticlesBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광, 이다연
2021Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learningBalachandran, Manavalan
2021BERT4Bitter: A bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptidesBalachandran, Manavalan
2021Integrative machine learning framework for the identification of cell-specific enhancers from the human genomeBalachandran, Manavalan, Basith, Shaherin, 이광
2021NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learningBalachandran, Manavalan
2021StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptidesBalachandran, Manavalan
2021Critical evaluation of web-based DNA N6-methyladenine site prediction toolsBalachandran, Manavalan
2021Computational prediction of species-specific yeast DNA replication origin via iterative feature representationBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2021Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking frameworkBalachandran, Manavalan
2021Meta-i6mA: An interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning frameworkBalachandran, Manavalan, Basith, Shaherin, 이광
2020Extremely-randomized-tree-based Prediction of N(6)-Methyladenosine Sites in Saccharomyces cerevisiaeBalachandran, Manavalan
2020Metabolome Changes in Cerebral IschemiaBalachandran, Manavalan, Basith, Shaherin, 신태환, 안정환, 이광
2020Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer PeptidesBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광, 이다연
2020HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representationBalachandran, Manavalan, Basith, Shaherin, 이광
2020Empirical comparison and analysis of web-based cell-penetrating peptide prediction toolsBalachandran, Manavalan
2020Empirical Comparison and Analysis of Web-Based DNA N (4)-Methylcytosine Site Prediction ToolsBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2020i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemesBalachandran, Manavalan
2020i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genomeBalachandran, Manavalan
2020Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screeningBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2020i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representationBalachandran, Manavalan
2019Silica-Coated Magnetic Nanoparticles Decrease Human Bone Marrow-Derived Mesenchymal Stem Cell Migratory Activity by Reducing Membrane Fluidity and Impairing Focal AdhesionBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
20194mCpred-EL: An Ensemble Learning Framework for Identification of DNA N(4)-methylcytosine Sites in the Mouse GenomeBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2019Prediction of S-nitrosylation sites by integrating support vector machines and random forestBalachandran, Manavalan
2019SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice GenomeBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2019AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized TreesBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2019Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature RepresentationBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2019Iterative feature representations improve N4-methylcytosine site predictionBalachandran, Manavalan
2019mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer PeptidesBalachandran, Manavalan, 이광
2019A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-alphaBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2019Silica-coated magnetic nanoparticles induce glucose metabolic dysfunction in vitro via the generation of reactive oxygen speciesBalachandran, Manavalan, Basith, Shaherin, 박찬배, 신태환, 이광
2019mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representationBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2018Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved AccuracyBalachandran, Manavalan, 신태환, 이광
2018iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised treeBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2018Bidirectional Transcriptome Analysis of Rat Bone Marrow-Derived Mesenchymal Stem Cells and Activated Microglia in an In Vitro Coculture SystemBalachandran, Manavalan, 이광
2018PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide PredictionsBalachandran, Manavalan, 이광
2018iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope PredictionBalachandran, Manavalan, 이광
2018AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random ForestBalachandran, Manavalan, 이광
2018PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector MachineBalachandran, Manavalan, 이광
2018Integration of metabolomics and transcriptomics in nanotoxicity studiesBalachandran, Manavalan, 모정순, 이광
2018DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forestBalachandran, Manavalan, 이광
2017MLACP: machine-learning-based prediction of anticancer peptidesBalachandran, Manavalan, 이광
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