The Metabolism Module in ADMET Predictor™ contains in silico models that classify compounds as substrates and/or inhibitors of the major CYP isoforms, while also predicting likely sites of metabolism and kinetic parameters (Km, Vmax, and intrinsic clearance). Classification models for phase II glucuronidation by UDP-glucuronosyltransferase are also included. This webinar describes the development of these models and how they can be applied to predict the disposition of drug candidates and assist with the lead optimization process.