This webinar provides an introduction to an in silico lead optimization process that begins with high throughput screening data via class generation, R-group analysis, scaffold hopping, activity cliff detection, QSAR/QSPR model generation, property visualization (2D & 3D), and prediction of important ADMET risks – including sites and rates of CYP metabolism and potential toxicities.