Conferences

Computational screening of natural products as tryptophan 2,3-dioxygenase inhibitors: Insights from machine learning QSAR, molecular docking, ADMET, and molecular dynamics simulations

Antibiotic discovery with artificial intelligence for the treatment of Acinetobacter baumannii infections

Enhanced accuracy in predicting drug blood-brain barrier permeability with a Machine Learning Ensemble model

QSAR and molecular modeling studies for the discovery of natural products as multi-target-directed drugs for Parkinson's disease

Machine Learning model to predict potential Monoamine Oxidase B inhibitors from Cannabis Compound Database

Computational studies of African Natural Products Databases to identify natural dual-target-directed antiparkinsonian drugs

Docking-based virtual screening and ADME evaluation of caffeine-based phytochemicals as inhibitors of Monoamine Oxidase B