Tan Thanh Mai is a lecturer in the Department of Pharmaceutical Chemistry, School of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam. His teaching and research focus on Medicinal Chemistry, with a particular emphasis on Drug Discovery and Development.
His research interests center on the application of cheminformatics to the early stages of drug discovery, including target identification and validation, virtual screening, hit-to-lead discovery, and lead optimization. He has experience in employing computer-aided drug design (CADD) techniques such as QSAR modeling, pharmacophore modeling, similarity searches, docking, and molecular dynamics simulations to support virtual screening workflows. In addition to working with large commercial chemical libraries, he is deeply interested in exploring bioactive natural compounds from traditional Vietnamese medicine as potential sources for drug discovery.
Recognizing the transformative potential of artificial intelligence (AI) in drug discovery, Mai is actively exploring AI-driven methodologies to enhance virtual screening and accelerate the drug discovery process. His ultimate goal is to identify promising drug candidates through computational drug discovery (in silico) and validate their efficacy through biological assays (in vitro and in vivo).
“Success is not the key to happiness. Happiness is the key to success. If you love what you are doing, you will be successful.”
– Albert Schweitzer
Tan Thanh Mai 