Matthew Rizen
Matthew Rizen
Home Institution
University of Southern California
Year Participated
2021
Year in School
Undergraduate
REU Faculty Mentor
Nancy Amato
Research Area Interest
Artificial Intelligence
Biography & Research Abstract
Abstract:
Motion planning algorithms are often used to find a path for a robot to travel along through a complex environment. They have also already been used to find and study paths that ligands can travel along to reach a recessed “binding site” on a protein. This project seeks to expand on this research by describing how tunnel volume and energy levels can affect a binding site’s accessibility, and answering how this accessibility determines a protein-ligand pair’s binding affinity.
Bio:
I am a rising sophomore studying Computer Science at the University of Southern California. I joined the lab in the summer of 2021. I'm interested in biological applications of computer and data science, as well as machine learning and AI.