Speaker Profile

Ph.D., K.H. Lee Distinguished Professor, UNC-Chapel Hill

Alexander Tropsha, PhD. is K.H. Lee Distinguished Professor and Associate Dean for Pharmacoinformatics and Data Science at the UNC Eshelman School of Pharmacy. Prof. Tropsha obtained PhD in Chemical Enzymology in 1986 from Moscow State University, Russia. His research interests are in the areas of Computer-Assisted Drug Design, Computational Toxicology and Cheminformatics. His has authored more than 200 peer-reviewed research papers, reviews and book chapters and co-edited two monographs. He is an Associate Editor of the ACS Journal of Chemical Information and Modeling. His research has been supported by grants from the NIH, NSF, EPA, DOD, foundations, and private companies.

AI and Data Science Showcase: UNC-Chapel Hill
UNC Eshelman School of Pharmacy is ranked #1 in the country by US News & World Report. Its faculty conduct major teaching and research activities in pharmaceutical sciences and education.

Applications of AI and Text Mining to Drug Discovery and Repurposing
Text mining and AI approaches find growing application in multiple areas as diverse as healthcare analytics and politics. I will discuss applications of text mining to areas of interest to drug discovery including prediction of drug side effects, drug repurposing, and establishing clinical outcomes pathways for drugs. I will discuss the use of diverse sources of knowledge to enable the above applications such as social media and biomedical literature. Finally, I will discuss the unique application of text mining concepts combined with artificial intelligence approaches to the difficult task of designing new chemical libraries with the desired properties.

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