Cryo-electron microscopy (cryoEM) is a Nobel Prize-winning technique for solving high-resolution three-dimensional structures of biological molecules such as proteins, that is used for structure-based drug design. Key to the success of cryoEM are significant advances in high performance computer vision and machine learning algorithms, used to extract information from large numbers of noisy 2D microscope images and compute and refine 3D structures of target proteins in near-native states.

This webinar will focus on highlighting these computational challenges, their solutions and implementations in the powerful cryoSPARC™ software suite, and the application of cryoEM within the structure-based drug design pipeline at Merck.

• How single-particle cryoEM works
• Key computational steps involved in cryoEM structure determination and state-of-the-art algorithms and solutions implemented in cryoSPARC™
• Examples of cryoEM enabling new structural insights for drug discovery
  

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