The Coming of Age of De Novo Protein Design

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Event details

Date 28.06.2018
Hour 15:00
Speaker Prof. David Baker, University of Washington, Seattle, WA (USA)
Location
Category Conferences - Seminars
DISTINGUISHED LECTURE IN BIOLOGICAL ENGINEERING

Abstract:
There are 20200 possible amino-acid sequences for a 200-residue protein, of which the natural evolutionary process has sampled only an infinitesimal subset. De novo protein design explores the full sequence space, guided by the physical principles that underlie protein folding. Computational methodology has advanced to the point that a wide range of structures can be designed from scratch with atomic-level accuracy. Almost all protein engineering so far has involved the modification of naturally occurring proteins; it should now be possible to design new functional proteins from the ground up to tackle current challenges in biomedicine and nanotechnology.

Bio:
David Baker is Professor of Biochemistry, Director of the Institute for Protein Design, Investigator of the Howard Hughes Medical Institute, and adjunct professor of Genome Sciences, Bioengineering, Chemical Engineering, Computer Science, and Physics at the University of Washington. He received his Ph.D. degree in biochemistry with Randy Schekman at the University of California, Berkeley and did postdoctoral work in biophysics with David Agard at UCSF. His research group is focused on the prediction and design of macromolecular structures, interactions and functions. Dr. Baker received young investigator awards from the National Science Foundation and the Beckman Foundation, and the Packard Foundation fellowship in Science and Engineering. He has also received the Irving Sigal Young Investigator award from the Protein Society and the Overton Prize from the International Society of Computational Biology. He is a recipient of the Feynman Prize from the Foresight Institute, the AAAS Newcomb_Cleveland prize, the Sackler prize in biophysics, and the Centenary award from the Biochemical society. He is a member of the National Academy of Sciences and the American Academy of Sciences. His research group is a world leader in computational protein design and protein structure prediction.