Dr. S Joshua Swamidass

Washington University in St. Louis

Hosted by: GSLC

**Analytical Seminar**

Abstract:

Using Artificial Intelligence to Model Bioactivation

Many drugs become toxic after they are bioactivated by metabolic enzymes into reactive metabolites. Structural alerts are a common way of identifying molecules at risk of bioactivation-related toxicity. But structural alerts do not take into account key information, and therefore suffer from reduced accuracy. Over the last several years, we have shown that artificial intelligence algorithms can accurately predict the metabolism, infer metabolites, and their reactivity. These methods are opening new ways to develop safer medicines. 

Bio:

S. Joshua Swamidass MD PhD is a scientist and physician, an associate professor in the Pathology and Immunology Department of Washington University in St Louis, and a fellow of the American Academy for the Advancement of Science (AAAS). His group studies how to use AI to answer questions at the intersection of biology, chemistry, and medicine.