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Computational molecular interaction between SARS-CoV-2 main protease and theaflavin digallate using free energy perturbation and molecular dynamics., , , and . Comput. Biol. Medicine, (2022)Using SMOTE to Deal with Class-Imbalance Problem in Bioactivity Data to Predict mTOR Inhibitors., , and . SN Comput. Sci., 1 (3): 150 (2020)Molecular modeling on pyruvate phosphate dikinase of Entamoeba histolytica and in silico virtual screening for novel inhibitors., , , , and . J. Comput. Aided Mol. Des., 22 (9): 647-660 (2008)Comparative analysis of machine learning based QSAR models and molecular docking studies to screen potential anti-tubercular inhibitors against InhA of mycobacterium tuberculosis., , , and . Int. J. Comput. Biol. Drug Des., 11 (3): 209-235 (2018)Evaluation of predictive models based on random forest, decision tree and support vector machine classifiers and virtual screening of anti-mycobacterial compounds., , , and . Int. J. Comput. Biol. Drug Des., 10 (3): 248-263 (2017)Genome-wide expression reveals potential biomarkers in breast cancer bone metastasis., , , , , , , and . J. Integr. Bioinform., (2022)Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases., and . Comput. Biol. Medicine, (2021)Identification of novel target sites and an inhibitor of the dengue virus E protein., , , , , and . J. Comput. Aided Mol. Des., 23 (6): 333-341 (2009)In silico identification and in vitro antiviral validation of potential inhibitors against Chikungunya virus., , , and . J. Comput. Aided Mol. Des., 36 (7): 521-536 (2022)A new fuzzy support vector machine with pinball loss., , , , and . Discov. Artif. Intell., (2023)