A computational approach to design structured peptides and predict peptide behavior in solution

Presented on November 4th 2020
speaker: Parisa Hosseinzadeh
Host: Chris Bahl
abstract: Despite their importance, our structural understanding of peptides and our ability to design those with predefined structures is limited due to practical difficulties in obtaining their experimental structure and limitations of generalizing protein structure prediction and design methods to peptide. We recently developed a computational pipeline that can accurately generate structured macrocycles. I will discuss the details of this method and our results, and then talk about how we can use this method to gain structural understanding of behavior of natural peptides in solution.