| 2022 | | Accelerating bioactive peptide discovery via mutual information-based meta-learning
Briefings in bioinformatics, 23(1). : bbab499-bbab499, 2022 | Balachandran, Manavalan |
| 2022 | | SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids
Pharmaceutics, 14(1). : 122-122, 2022 | Balachandran, Manavalan |
| 2022 | | Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2
Briefings in bioinformatics, 23(1). : bbab412-bbab412, 2022 | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2022 | | STALLION: A stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction
Briefings in bioinformatics, 23(1). : bbab376-bbab376, 2022 | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2021 | | SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information
Computational and structural biotechnology journal, 20. : 165-174, 2021 | Balachandran, Manavalan |
| 2021 | | Mapping the intramolecular communications among different glutamate dehydrogenase states using molecular dynamics
Biomolecules, 11(6). : 798-798, 2021 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2021 | | Silica-coated magnetic nanoparticles activate microglia and induce neurotoxic d-serine secretion
Particle and fibre toxicology, 18(1). : 30-30, 2021 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2021 | | Silica-coated magnetic-nanoparticle-induced cytotoxicity is reduced in microglia by glutathione and citrate identified using integrated omics
Particle and fibre toxicology, 18(1). : 42-42, 2021 | Balachandran, Manavalan, Basith, Shaherin, 강엽, 김아영, 백은주, 신태환, 이광 |
| 2021 | | Decrease in membrane fluidity and traction force induced by silica-coated magnetic nanoparticles
Journal of nanobiotechnology, 19(1). : 21-21, 2021 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광, 이다연 |
| 2021 | | Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learning
International journal of molecular sciences, 22(23). : 13124-13124, 2021 | Balachandran, Manavalan |
| 2021 | | BERT4Bitter: A bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides
Bioinformatics (Oxford, England), 37(17). : 2556-2562, 2021 | Balachandran, Manavalan |
| 2021 | | Integrative machine learning framework for the identification of cell-specific enhancers from the human genome
Briefings in bioinformatics, 22(6). : bbab252-bbab252, 2021 | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2021 | | NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
Briefings in bioinformatics, 22(6). : bbab167-bbab167, 2021 | Balachandran, Manavalan |
| 2021 | | StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
Briefings in bioinformatics, 22(6). : bbab172-bbab172, 2021 | Balachandran, Manavalan |
| 2021 | | Critical evaluation of web-based DNA N6-methyladenine site prediction tools
Briefings in functional genomics, 20(4). : 258-272, 2021 | Balachandran, Manavalan |
| 2021 | | Computational prediction of species-specific yeast DNA replication origin via iterative feature representation
Briefings in bioinformatics, 22(4). : bbaa304-bbaa304, 2021 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2021 | | Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework
Briefings in bioinformatics, 22(4). : bbaa275-bbaa275, 2021 | Balachandran, Manavalan |
| 2021 | | Meta-i6mA: An interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework
Briefings in bioinformatics, 22(3). : bbaa202-bbaa202, 2021 | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2020 | | Extremely-randomized-tree-based Prediction of N(6)-Methyladenosine Sites in Saccharomyces cerevisiae
Current genomics, 21(1). : 26-33, 2020 | Balachandran, Manavalan |
| 2020 | | Metabolome Changes in Cerebral Ischemia
Cells, 9(7). : 1630-1630, 2020 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 안정환, 이광 |
| 2020 | | Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer Peptides
Current protein & peptide science, 21(12). : 1242-1250, 2020 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광, 이다연 |
| 2020 | | HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
Bioinformatics (Oxford, England), 36(11). : 3350-3356, 2020 | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2020 | | Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools
Briefings in bioinformatics, 21(2). : 408-420, 2020 | Balachandran, Manavalan |
| 2020 | | Empirical Comparison and Analysis of Web-Based DNA N (4)-Methylcytosine Site Prediction Tools
Molecular therapy. Nucleic acids, 22. : 406-420, 2020 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2020 | | i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes
Computational and structural biotechnology journal, 18. : 906-912, 2020 | Balachandran, Manavalan |
| 2020 | | i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome
International journal of biological macromolecules, 157. : 752-758, 2020 | Balachandran, Manavalan |
| 2020 | | Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening
Medicinal research reviews, 40(4). : 1276-1314, 2020 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2020 | | i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation
Plant molecular biology, 103(1-2). : 225-234, 2020 | Balachandran, Manavalan |
| 2019 | | Silica-Coated Magnetic Nanoparticles Decrease Human Bone Marrow-Derived Mesenchymal Stem Cell Migratory Activity by Reducing Membrane Fluidity and Impairing Focal Adhesion
Nanomaterials (Basel, Switzerland), 9(10). : 1475-1475, 2019 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | 4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N(4)-methylcytosine Sites in the Mouse Genome
Cells, 8(11). : 1332-1332, 2019 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | Prediction of S-nitrosylation sites by integrating support vector machines and random forest
Molecular omics, 15(6). : 451-458, 2019 | Balachandran, Manavalan |
| 2019 | | SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome
Molecular therapy. Nucleic acids, 18. : 131-141, 2019 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized Trees
Computational and structural biotechnology journal, 17. : 972-981, 2019 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation
Molecular therapy. Nucleic acids, 16. : 733-744, 2019 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | Iterative feature representations improve N4-methylcytosine site prediction
Bioinformatics (Oxford, England), 35(23). : 4930-4937, 2019 | Balachandran, Manavalan |
| 2019 | | mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
International journal of molecular sciences, 20(8). : 1964-1964, 2019 | Balachandran, Manavalan, 이광 |
| 2019 | | A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-alpha
International journal of molecular sciences, 20(7). : 1666-1666, 2019 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | Silica-coated magnetic nanoparticles induce glucose metabolic dysfunction in vitro via the generation of reactive oxygen species
Archives of toxicology, 93(5). : 1201-1212, 2019 | Balachandran, Manavalan, Basith, Shaherin, 박찬배, 신태환, 이광 |
| 2019 | | mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
Bioinformatics (Oxford, England), 35(16). : 2757-2765, 2019 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2018 | | Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy
Journal of proteome research, 17(8). : 2715-2726, 2018 | Balachandran, Manavalan, 신태환, 이광 |
| 2018 | | iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
Computational and structural biotechnology journal, 16. : 412-420, 2018 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2018 | | Bidirectional Transcriptome Analysis of Rat Bone Marrow-Derived Mesenchymal Stem Cells and Activated Microglia in an In Vitro Coculture System
Stem cells international, 2018. : 6126413-6126413, 2018 | Balachandran, Manavalan, 이광 |
| 2018 | | PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions
Frontiers in immunology, 9. : 1783-1783, 2018 | Balachandran, Manavalan, 이광 |
| 2018 | | iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction
Frontiers in immunology, 9. : 1695-1695, 2018 | Balachandran, Manavalan, 이광 |
| 2018 | | AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest
Frontiers in pharmacology, 9. : 276-276, 2018 | Balachandran, Manavalan, 이광 |
| 2018 | | PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine
Frontiers in microbiology, 9. : 476-476, 2018 | Balachandran, Manavalan, 이광 |
| 2018 | | Integration of metabolomics and transcriptomics in nanotoxicity studies
BMB reports, 51(1). : 14-20, 2018 | Balachandran, Manavalan, 모정순, 이광 |
| 2018 | | DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest
Oncotarget, 9(2). : 1944-1956, 2018 | Balachandran, Manavalan, 이광 |
| 2017 | | MLACP: machine-learning-based prediction of anticancer peptides
Oncotarget, 8(44). : 77121-77136, 2017 | Balachandran, Manavalan, 이광 |
