Location: Old Main Academic Building, Room 1030
Time: Saturday, May 7th, 1:20pm - 2:20pm
Title: Machine Learning Models for Biophysics
Abstract:
Protein interactions govern most physiological processes. Predicting the structure of protein interactions is an important open question, as is understanding the impacts of mutations on the strength of association. I will discuss the use of machine learning to develop predictive models for these questions. In addition, recent work on generative adversarial networks for protein structure design will be presented.