Explore the applications of deep learning in structural biology and protein engineering through this comprehensive tutorial. Delve into the inner workings of AlphaFold2 and other emerging deep learning methods used to visualize and understand naturally occurring proteins, as well as design novel proteins for therapeutic and environmental purposes. Examine the assumptions on biological data distributions and discuss hypotheses for the crucial ingredients of successful deep learning applications in this field. Gain insights into how these advanced techniques are revolutionizing our understanding of the approximately 20,000 different proteins found in the human body and their diverse functions. Learn from UC Berkeley's Chloe Hsu as she presents this informative talk as part of the Deep Learning Theory Workshop and Summer School at the Simons Institute.
Deep Learning in Structural Biology and Protein Design - How, Where, and Why
Overview
Syllabus
Deep Learning in Structural Biology and Protein Design: How, Where, and Why
Taught by
Simons Institute
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