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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.

By attending this webinar, you'll learn:
  • 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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Speakers

Ali Punjani

CEO/Co-Founder, Structura Biotechnology

Ali Punjani is a PhD candidate at the University of Toronto’s Computer Science department and Co-Founder and CEO of Structura Biotechnology Inc., a Toronto-based software company providing cryoEM data processing solutions for academia and industry. Ali’s research work focuses on computer vision and machine learning algorithms in the cryoEM context.

Yacob Gomez Llorente

Associate Principal CryoEM Scientist, Merck

Yacob Gomez Llorente, PhD in Molecular Biology, Associate Principal cryoEM Scientist at Merck, started working as a cryoEM specialist 15 years ago in the origins of the technique, in the laboratory of the Software Developer and cryoEM microscopist Jose María Carazo. He moved to New York to work in the Mount Sinai School of Medicine in close collaboration with the New York Structural Biology Center and recently joined Merck to focus his career in cryoEM applied to drug discovery.

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Date & Time: Wednesday, April 22, 2018