Northwestern Events Calendar

Apr
25
2022

"Protein Design Using Deep Learning" - Annual Julius B. Kahn, Jr. Lecture: David Baker, Ph.D.

When: Monday, April 25, 2022
4:00 PM - 5:00 PM CT

Where: Online

Audience: Faculty/Staff - Student - Public - Post Docs/Docs - Graduate Students

Contact: Lexi Smith   (312) 503-4893

Group: Department of Pharmacology Seminars

Category: Lectures & Meetings

Description:

Please join the Department of Pharmacology and Driskill Graduate Program Lectures in Life Sciences for the Annual Julius B. Kahn, Jr. Lecture presented by:

David Baker, Ph.D.
Head of the Institute for Protein Design
Professor of Biochemistry
Adjunct Professor of Genome Sciences, Physics, Chemical Engineering, and Computer Science
Investigator, HHMI
University of Washington

"Protein Design Using Deep Learning"

Proteins mediate the critical processes of life and beautifully solve the challenges faced during the evolution of modern organisms. Our goal is to design a new generation of proteins that address current-day problems not faced during evolution. In contrast to traditional protein engineering efforts, which have focused on modifying naturally occurring proteins, we design new proteins from scratch to optimally solve the problem at hand.  We now use two approaches.  First, guided by Anfinsen’s principle that proteins fold to their global free energy minimum, we use the physically based Rosetta method to compute sequences for which the desired target structure has the lowest energy.  Second, we use deep learning methods to design  sequences predicted to fold to the desired structures.  In both cases,  following the computation of  amino acid sequences predicted to fold into proteins with new structures and functions, we produce synthetic genes encoding these sequences, and characterize them experimentally. In this talk, I will describe recent advances in protein design using both approaches.

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