Tutorial: Deep Learning Applications in Structural Biology and Protein Engineering
Abstract: There are about 20,000 different proteins in each one of us, humans. These proteins carry out a diverse set of functions to keep us all alive and healthy. Recently, deep learning has been increasingly used to both 1) help us visualize and gain insights into naturally existing proteins and 2) design novel proteins for therapeutic and environmental applications. In this talk, we will take a deep dive into the inner workings of AlphaFold2 and other emerging deep learning methods in structural biology and protein design. We will also examine the assumptions on biological data distributions and discuss hypotheses for the crucial ingredients of successful deep learning applications.