Machine learning augmented molecular simulation pipelines for modelling allosteric modulation of protein function

This project will focus on developing computational methodologies grounded in molecular simulation and machine learning for predicting how the binding of a ligand to the surface of a protein will modulate its biological function. Such capability may facilitate the rational design of allosteric modulators of protein function which of enormous…