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Explore how machine learning is revolutionizing structural biology through this 12-minute conference interview from NeurIPS 2025. Discover the shift from viewing proteins as static structures to understanding them as dynamic molecular machines, and learn how cryo-electron microscopy combined with machine learning techniques is revealing protein motion that goes beyond traditional structure prediction methods. Delve into the computational challenges of inverse problems in biology, examine the role of noisy experimental data in scientific discovery, and understand the evolution from supercomputer-based approaches to modern cryo-EM methodologies. Gain insights into the collaboration between computational scientists and experimental researchers, explore lessons learned from industry leaders like DeepMind versus academic approaches, and understand why protein dynamics remain one of the most challenging unsolved problems in the field. Learn to distinguish between overhyped and underhyped aspects of AI-driven biology while exploring the future trajectory of artificial intelligence applications in molecular discovery and structural biology research.
