Breadcrumb Home Videos Machine Learning in Drug Discovery Symposium 2022: 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; RocÃo 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. Machine Learning in Drug Discovery Symposium YouTube playlists Latest news News 10.08.2025 A pioneering effort in patient-partnered cancer research enters a new phase News 09.30.2025 Jason Buenrostro named core institute member at Ó³»´«Ã½ News 09.24.2025 Study identifies genetic targets that could improve CAR-T therapies News 09.22.2025 New AI-based diagnostic tool uses epigenomics to accelerate acute leukemia diagnosis All news