Breadcrumb Home Videos 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; 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. Latest news News 04.05.2025 David Liu receives Breakthrough Prize in Life Sciences News 04.03.2025 Scientists have developed a way to scale up spatial genomics and lower costs News 03.27.2025 Building bridges between Denmark-based and Ó³»´«Ã½ researchers News 03.25.2025 An effort based at Ó³»´«Ã½ is fostering dialogue between autism researchers, advocates, and families All news
News 03.25.2025 An effort based at Ó³»´«Ã½ is fostering dialogue between autism researchers, advocates, and families