Programmable Generative Protein Design - Machine Learning in Drug Discovery
Offered By: Broad Institute via YouTube
Course Description
Overview
Explore a 26-minute conference talk from the Broad Institute Machine Learning in Drug Discovery Symposium 2023 featuring Gevorg Grigoryan, CTO of Generate Biomedicines. Delve into the topic of programmable generative protein design as Grigoryan shares insights on cutting-edge approaches in this field. Gain valuable knowledge about the intersection of machine learning and drug discovery, with a focus on innovative protein design techniques. Learn about the latest advancements and potential applications in biomedicine from a leading expert in the industry. Understand how this research contributes to the broader landscape of drug discovery and development.
Syllabus
Broad Institute Machine Learning in Drug Discovery Symposium 2023: Gevorg Grigoryan
Taught by
Broad Institute
Related Courses
Network Analysis in Systems BiologyIcahn School of Medicine at Mount Sinai via Coursera Molecular Dynamics for Computational Discoveries in Science
University of Massachusetts Boston via Independent Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera Python for Informatics: Exploring Information
Open Education by Blackboard Genomic Medicine Gets Personal
Georgetown University via edX