Sequence Design Introduction

This video explains principles for predicting a protein sequence that will fold into a particular structure. Nick describes the opportunities for structural homologies and degeneracy of nature, i.e. many different sequences can produce similar structures. Nick expands on sequence design metrics, output evaluation practices, and common applications. Video from the Rosetta Commons ML Bootcamp (October 2024) Video Instructor: Nick Randolph (UNC Chapel Hill) Credits: Course Instructor: Nick Randolph Course Teaching Assistants: Fatima Hitawala, Amrita Nallathambi, Ben Orr RC Leadership and NSF Sponsored Grant PIs: Julia Koehler Leman & Jeffrey Gray RC Education Director: Ashley Vater Videographer: Ryan Caster Rosetta Bootcamp Trainee Participants. Funding: Rosetta Commons and National Science Foundation 00:00 - Intro 00:10 - CPU vs GPU 00:18 - What is a sequence design? 00:46 - Protein structures are quite degenerate 02:41 - Sequence design metrics 10:33 - Applications