Contextual Conformational Variability in CryoEM and CryoET Using Deep Learning

Explore the cutting-edge applications of deep learning in cryo-electron microscopy (CryoEM) and cryo-electron tomography (CryoET) through this insightful conference talk. Delve into the development of advanced methodologies for examining population dynamics and annotating cellular data in macromolecules. Discover how these techniques provide crucial contextual information and reveal compositional and conformational variability, offering a deeper understanding of molecular function. Learn about the advantages of studying molecules in solution and in their native cellular environments, and how this approach overcomes limitations of traditional X-ray crystallography. Gain valuable insights into specific biological systems where these innovative deep learning strategies play a critical role in unraveling molecular behavior and interactions.

Steven Ludtke - Contextual Conformational Variability in CryoEM and CryoET using Deep Learning