Rosetta@home
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What is Rosetta@home?

Rosetta@home needs your help to determine the 3-dimensional shapes of proteins in research that may ultimately lead to finding cures for some major human diseases. By running the Rosetta program on your computer while you don't need it you will help us speed up and extend our research in ways we couldn't possibly attempt without your help. You will also be helping our efforts at designing new proteins to fight diseases such as HIV, Malaria, Cancer, and Alzheimer's (See our Disease Related Research for more information). Please join us in our efforts! Rosetta@home is not for profit.

We believe that we are getting closer to accurately predicting and designing protein structures and protein complexes, one of the holy grails of computational biology. But in order to prove this, we require an enormous amount of computing resources, an amount greater than the world's largest super computers. This is only achievable through a collective effort from volunteers like you.

Videos

Rosetta@home explained

Science

[The Science section might (or might not) be divided into two parts: {1} general discussion of the field, and then {2} a discussion of the project's specific endeavor. For instance, in LHC@home, we might have {1} "Science of the Large Hardon Collider" and then {2} "Science of LHC@home"
The above is desirable, because in most cases, the field of research is really fascinating, and presenting this in broad terms-- outlining the big questions-- can make it easier to understand the particulars of the project and why it is important. ]

Results

  1. Qian B, Raman S, Das R, Bradley P, !McCoy AJ, Read RJ, Baker D. High-resolution structure prediction and the crystallographic phase problem, Nature 450, 259-64 (2007).
  2. Wang C, Bradley P, Baker D. Protein-protein docking with backbone flexibility. J. Mol. Biol. 373, 503-19 (2007).
  3. Misura KM, Chivian D, Rohl CA, Kim DE, Baker D. Physically realistic homology models built with ROSETTA can be more accurate than their templates. Proc. Natl. Acad. Sci. U.S.A. 103, 5361-6 (2006).
  4. Rhiju Das, Madhuri Kudaravalli, Magdalena Jonikas, Alain Laederach, Robert Fong, Jason P. Schwans, David Baker, Joseph A. Piccirilli, Russ B. Altman, and Daniel Herschlag, Structural inference of native and partially folded RNA by high throughput contact mapping, PNAS, in press (2008).
  5. Das R, Qian B, Raman S, Vernon R, Thompson J, Bradley P, Khare S, Tyka MD, Bhat D, Chivian D, Kim DE, Sheffler WH, Malmström L, Wollacott AM, Wang C, Andre I, Baker D. Structure prediction for CASP7 targets using extensive all-atom refinement with Rosetta@home. Proteins 69 Suppl 8, 118-28 (2007).
  6. Das R, Baker D. Automated de novo prediction of native-like RNA tertiary structures. Proc. Natl. Acad. Sci. U.S.A. 104, 14664-9 (2007).

Links of Interest

Dr. David Baker's Lab Group Homepage

foldIt - A game where you to try and fold the proteins and your game actually helps science.

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Wikipedia

Project In the Classroom

[For each project, please add a "[Projectname] in the Classroom" section-- with a link to Volunteer Computing In the Classroom and an article named "[Projectname] in the Classroom". (Then please add "[Projectname] in the Classroom" to the list on the main Education page.)]

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