Machine Learning in Drug Discovery Symposium: Lightning talks from selected poster presenters

Talk 1: Antibody optimization enabled by ML predictions of binding affinity and naturalness; Joshua Meier, Absci

Talk 2: De novo PROTAC design using graph-based deep generative models; Divya Nori, MIT

Talk 3: Meta-learning for optimization of small molecule binders; Rocío Mercado, Department of Chemical Engineering, MIT

Talk 4: Protein-Fragment Interaction Graph Database; Xuetao Shi, University of Connecticut (19:11)

Q&A

Learn more about the Machine Learning in Drug Discovery Symposium.