ACS March Meeting: AI & Drug Design

Learn about how machine learning is being used to find suitable drug candidates from GA Tech’s David Sherrill and Le Song.

Artificial intelligence is a promising approach to speed up the drug design process at multiple levels, including estimates of drug binding strength, pharmacokinetics, and synthesizability.  Professor David Sherrill, Associate Director of the Georgia Tech Institute for Data Engineering and Science, will present a summary of his group’s research on using machine learning to model the interactions between drugs and protein binding pockets.  Professor Le Song, Associate Director for Georgia Tech’s Center for Machine Learning, will present a summary of recent advances in AI for retrosynthetic analysis, and his group’s state-of-the-art synthesis prediction and planning models.