| 2025 | | EnsemPred-ACP: Combining machine and deep learning to improve anticancer peptide prediction
Computers in biology and medicine, 196(Pt A). : 110668-110668, 2025 | Basith, Shaherin, 이광 |
| 2025 | | CPPpred-En: Ensemble framework integrating a protein language model and conventional features for highly accurate cell-penetrating peptide prediction
Computers in biology and medicine, 195. : 110590-110590, 2025 | Basith, Shaherin, 이광 |
| 2025 | | AntiT2DMP-Pred: Leveraging feature fusion and optimization for superior machine learning prediction of type 2 diabetes mellitus
Methods (San Diego, Calif.), 234. : 264-274, 2025 | Basith, Shaherin, 이광 |
| 2024 | | mHPpred: Accurate identification of peptide hormones using multi-view feature learning
Computers in biology and medicine, 183. : 109297-109297, 2024 | Basith, Shaherin, 이광 |
| 2024 | | SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features
International journal of biological macromolecules, 273(Pt 2). : 133085-133085, 2024 | Basith, Shaherin, 이광 |
| 2024 | | Unveiling local and global conformational changes and allosteric communications in SOD1 systems using molecular dynamics simulation and network analyses
Computers in biology and medicine, 168. : 107688-107688, 2024 | Basith, Shaherin, 이광 |
| 2023 | | ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information
Computers in biology and medicine, 165. : 107386-107386, 2023 | Basith, Shaherin, 이광 |
| 2023 | | How well does a data-driven prediction method distinguish dihydrouridine from tRNA and mRNA?
Molecular therapy. Nucleic acids, 31. : 744-745, 2023 | Basith, Shaherin |
| 2022 | | THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites
Journal of molecular biology, 434(11). : 167549-167549, 2022 | Basith, Shaherin, 이광 |
| 2022 | | Amyotrophic lateral sclerosis disease-related mutations disrupt the dimerization of superoxide dismutase 1 - A comparative molecular dynamics simulation study
Computers in biology and medicine, 151 Part B. : 106319-106319, 2022 | Basith, Shaherin, 이광 |
| 2022 | | Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation Sites
Current medicinal chemistry, 29(2). : 235-250, 2022 | Basith, Shaherin, 이광, 장혜진 |
| 2022 | | The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible Killer
Nanomaterials (Basel, Switzerland), 12(15). : 2656-2656, 2022 | Basith, Shaherin, 박찬배, 신태환, 이광 |
| 2022 | | Reduction in the Migration Activity of Microglia Treated with Silica-Coated Magnetic Nanoparticles and their Recovery Using Citrate
Cells, 11(15). : 2393-2393, 2022 | Basith, Shaherin, 신태환, 이광, 최성이 |
| 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 | | 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 | | 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 | | 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 | | 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 |
| 2021 | | Analysis of nanotoxicity with integrated omics and mechanobiology
Nanomaterials (Basel, Switzerland), 11(9). : 2385-2385, 2021 | Basith, Shaherin, 모정순, 신태환, 이광 |
| 2021 | | Strategies to Improve the Quality and Freshness of Human Bone Marrow-Derived Mesenchymal Stem Cells for Neurological Diseases
Stem cells international, 2021. : 8444599-8444599, 2021 | Basith, Shaherin, 신태환, 안정환, 이광, 이성은 |
| 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 DNA N (4)-Methylcytosine Site Prediction Tools
Molecular therapy. Nucleic acids, 22. : 406-420, 2020 | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 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 |
| 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 | | 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 | | 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 | | 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 |
