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 2025 Latest news News 04.16.2026 Clinical trial of a prion disease drug candidate begins enrolling participants News 04.15.2026 Massive ancient-DNA study reveals natural selection has accelerated in recent human evolution News 04.14.2026 Cancer Dependency Map Consortium launches Phase 3 to accelerate next-generation therapeutics News 04.14.2026 Base editing repairs mutation and liver function in mouse model of Zellweger spectrum disorder All news
News 04.15.2026 Massive ancient-DNA study reveals natural selection has accelerated in recent human evolution
News 04.14.2026 Cancer Dependency Map Consortium launches Phase 3 to accelerate next-generation therapeutics
News 04.14.2026 Base editing repairs mutation and liver function in mouse model of Zellweger spectrum disorder