Division/Committee: [CINF] Division of Chemical Information

Three exciting information-rich technologies are emerging at the interface of data and chemistry in drug discovery. First, synthesis-on-demand capabilities are uncovering huge portions of chemical space that can be computationally explored and readily realized. Second, technologies that reveal the secrets of protein structure -- high-throughput crystallography, Cryo-EM, and computationally predictive methods like AlphaFold – provide a rich body of data that will likely bring structure-based drug design to a new level. Finally, whether you call it old-fashioned machine learning or fancy artificial intelligence, the ability of computational models to uncover patterns and meaning in data has never been stronger. At this symposium, we will hear from those at the forefront of these innovation themes and how they come together to enable a deep dive into chemical space.

Paul Beroza

Genentech

Appearances