Regression QSAR Models for Predicting HIV-1 Integrase Inhibitors
C. H. X. Ha, N. K. Lee, T. Rahman, S. S. Hwang, W. K. Yam, X. W. Chee
This study develops two regression QSAR models using boosted Random Forest and K* algorithms to predict INSTI activity and identifies potential drug candidates from DrugBank.
bioRxiv · Feb 23, 2021 · PreprintPharmacology & Toxicology