| 2024 | | mHPpred: Accurate identification of peptide hormones using multi-view feature learning | Basith, Shaherin, 이광 |
| 2024 | | SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features | Basith, Shaherin, 이광 |
| 2024 | | Unveiling local and global conformational changes and allosteric communications in SOD1 systems using molecular dynamics simulation and network analyses | Basith, Shaherin, 이광 |
| 2023 | | ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information | Basith, Shaherin, 이광 |
| 2023 | | How well does a data-driven prediction method distinguish dihydrouridine from tRNA and mRNA? | Basith, Shaherin |
| 2022 | | THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites | Basith, Shaherin, 이광 |
| 2022 | | Amyotrophic lateral sclerosis disease-related mutations disrupt the dimerization of superoxide dismutase 1 - A comparative molecular dynamics simulation study | Basith, Shaherin, 이광 |
| 2022 | | Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation Sites | Basith, Shaherin, 이광, 장혜진 |
| 2022 | | The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible Killer | Basith, Shaherin, 박찬배, 신태환, 이광 |
| 2022 | | Reduction in the Migration Activity of Microglia Treated with Silica-Coated Magnetic Nanoparticles and their Recovery Using Citrate | Basith, Shaherin, 신태환, 이광, 최성이 |
| 2022 | | Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2 | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2022 | | STALLION: A stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2021 | | Mapping the intramolecular communications among different glutamate dehydrogenase states using molecular dynamics | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2021 | | Silica-coated magnetic nanoparticles activate microglia and induce neurotoxic d-serine secretion | 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 | Balachandran, Manavalan, Basith, Shaherin, 강엽, 김아영, 백은주, 신태환, 이광 |
| 2021 | | Decrease in membrane fluidity and traction force induced by silica-coated magnetic nanoparticles | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광, 이다연 |
| 2021 | | Integrative machine learning framework for the identification of cell-specific enhancers from the human genome | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2021 | | Computational prediction of species-specific yeast DNA replication origin via iterative feature representation | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 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 | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2021 | | Analysis of nanotoxicity with integrated omics and mechanobiology | Basith, Shaherin, 모정순, 신태환, 이광 |
| 2021 | | Strategies to Improve the Quality and Freshness of Human Bone Marrow-Derived Mesenchymal Stem Cells for Neurological Diseases | Basith, Shaherin, 신태환, 안정환, 이광, 이성은 |
| 2020 | | Metabolome Changes in Cerebral Ischemia | Balachandran, Manavalan, Basith, Shaherin, 신태환, 안정환, 이광 |
| 2020 | | Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer Peptides | 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 | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2020 | | Empirical Comparison and Analysis of Web-Based DNA N (4)-Methylcytosine Site Prediction Tools | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2020 | | Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | Silica-Coated Magnetic Nanoparticles Decrease Human Bone Marrow-Derived Mesenchymal Stem Cell Migratory Activity by Reducing Membrane Fluidity and Impairing Focal Adhesion | 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 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized Trees | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-alpha | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2019 | | Silica-coated magnetic nanoparticles induce glucose metabolic dysfunction in vitro via the generation of reactive oxygen species | 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 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2018 | | iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
