Articles

Computational bioinformatics and natural product chemistry are converging in ways that are reshaping how new drugs get discovered. Molecular docking, virtual screening, and ADMET prediction now let researchers explore the chemistry of plants, fungi, marine organisms, and microbes with the precision no wet lab could match on its own. With antimicrobial resistance (AMR) killing millions each year, these in silico methods offer something the field badly needs: a faster, cheaper route from natural compound to drug candidate. This article walks through that integrated computational–experimental pipeline, points to real applications already underway in oncology, metabolic disease, and antimicrobial research, and argues that the approach holds particular promise for researchers working in biodiversity-rich but resource-limited regions.