School of Engineering
Engineering Professor and International Collaborators Publish Artificial Intelligence-enabled Cancer Drug Discovery Tool
Professor of Chemical Engineering Sachin Patil, together with a team of international collaborators from Imperial College London in the United Kingdom and the Cancer Research Center in Marseille, France, published a paper in the Journal of Advanced Research titled, “Inactive-enriched machine-learning models exploiting patent data improve structure-based virtual screening for PDL1 dimerizers.” The paper presented novel PDL1-specific machine-learning scoring functions as a powerful drug design tool for detecting small-molecule PD1/PDL1 inhibitors, forming the basis for developing novel cancer immunotherapies with better patient outcomes and milder side effects.