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https://simons.berkeley.edu/talks/tutorial-deep-learning-applications-structural-biology-and-protein-engineering
Deep Learning Theory Workshop and Summer School
Tutorial: Applications of Deep Learning in structural biology and protein engineering
Summary: There are approximately 20,000 different proteins in each of us human beings. These proteins perform a variety of functions to keep us all alive and healthy. Recently, deep learning has been increasingly used to both 1) help us visualize and better understand naturally existing proteins and 2) to design new proteins for therapeutic and environmental applications. In this talk, we'll delve deeper into the inner workings of AlphaFold2 and other emerging deep learning methods in structural biology and protein design. We will also examine assumptions about the distribution of biological data and discuss assumptions about the crucial ingredients for the success of deep learning applications.
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