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David Baker (U. Washington / HHMI): Crowd Sourcing Protein Folding: Rosetta@Home and FoldIt
iBiology Science Stories
40K subscribers • 16 videos on Rounds • Health institution
- Published by iBiology Science Stories, one of the health institutions Rounds lists. Nobody has recommended it in the communities yet, so it ranks below community picks.
- Presented by David Baker, Professor of Biochemistry at the University of Washington, as the video describes them
Assumes interest and some biology. Education, not medical advice.
22K views11 years ago
How the body worksCells and molecules
David Baker explains how the interactive program Foldit allows citizen scientists to help predict and design protein structures.
ibiology.org/science-and-society/crowd-sourcing-protein-fold… Talk Overview: Foldit is an interactive protein folding program that allows individuals to work with sequences to predict the most likely fold for a protein. Foldit users have designed algorithms to improve computational protein folding, determined optimal sequences for protein structures that have been verified experimentally, and created new proteins based on experimental or design parameters. Anyone can participate by downloading Foldit at fold.it Speaker Biography: David Baker is the Head of the Institute for Protein Design and a Professor of Biochemistry at the University of Washington, and a Howard Hughes Medical Institute Investigator. His research utilizes both experimental and computational methods to study the design of protein structures, and the mechanisms of protein folding, protein-protein and protein-small molecule interactions. Baker has won numerous awards and honors for his work, and is a member of the National Academy of Sciences and the American Academy of Sciences. His lab developed the crowdsourced protein folding design programs Rosetta@home (boinc.bakerlab.org/) and Foldit (fold.it/portal/ ).Why it's here
From a health institutioniBiology Science Stories is on Rounds' list of health institutions, and this upload is one of its most-watched lectures or explainers. Nobody has recommended it in the communities yet, so it ranks below community picks.