
Rosetta@home
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Rosetta@home is a volunteer computing project researching protein structure prediction on the Berkeley Open Infrastructure for Network Computing (BOINC) platform, run by the Baker lab. Rosetta@home aims to predict protein–protein docking and design new proteins with the help of about fifty-five thousand active volunteered computers processing at over 487,946 gigaFLOPS on average as of September 19, 2020. Foldit, a Rosetta@home videogame, aims to reach these goals with a crowdsourcing approach. Though much of the project is oriented toward basic research to improve the accuracy and robustness o
In the Vinony graph
Within Vinony's link graph, Rosetta@home is referenced by 181 other articles, and connects out to Q209563, World Community Grid and macromolecular docking.
Vinony files it under Berkeley Open Infrastructure for Network Computing projects, Bioinformatics software and Free science software.
Its subject is documented across 23 Wikipedia language editions.
Key facts
- Distributed computing project.logo
- Rosettahome.png
- Distributed computing project.logo_size
- 180
- Distributed computing project.developer
- Baker laboratory, University of Washington; Rosetta Commons
- Distributed computing project.latest release version
- Rosetta: 4.20
- Distributed computing project.latest release date
- Rosetta Mini: 3.78 / Rosetta for Android: 4.20 /
- Distributed computing project.operating system
- Windows, macOS, Linux, Android
- Distributed computing project.platform
- BOINC
- Distributed computing project.status
- Active
- Distributed computing project.license
- Proprietary freeware for academic and non-profit use
- Distributed computing project.performance
- 68,735 GigaFLOPS
- Distributed computing project.total users
- 1,381,253
- Distributed computing project.active users
- 11,730
- Distributed computing project.total hosts
- 4,537,689
- Distributed computing project.active hosts
- 23,122
- Distributed computing project.screenshot
- Rosetta.gif
- Distributed computing project.screenshot_size
- 250px
- Software.name
- Rosetta
- Software.released
- 1998
via Wikipedia infobox
Wikidata facts
- Official website
- boinc.bakerlab.org/rosetta
- Image
- Rosetta.gif
Show 3 more facts
- social media followers
- 5588
- Commons category
- Rosetta@home
- inception
- 2005-10-06
Sources (2)
via Wikidata · CC0
~32 min read
Encyclopedic overview
25 sectionsContents
- Computing platform
- Project significance
- Disease-related research
- Alzheimer's disease
- Anthrax
- Herpes simplex virus 1
- HIV
- Malaria
- COVID-19
- Cancer
- Rosetta software
- RosettaDesign
- RosettaDock
- Robetta
- Other Rosetta servers
- Foldit
- RoseTTAFold
- Non-Baker lab branches
- Comparison to similar volunteer computing projects
- Folding@home
- World Community Grid
- Predictor@home
- Volunteer contributions
- References
- External links
Rosetta@home is a volunteer computing project researching protein structure prediction on the Berkeley Open Infrastructure for Network Computing (BOINC) platform, run by the Baker lab. Rosetta@home aims to predict protein–protein docking and design new proteins with the help of about fifty-five thousand active volunteered computers processing at over 487,946 gigaFLOPS on average as of September 19, 2020. Foldit, a Rosetta@home videogame, aims to reach these goals with a crowdsourcing approach. Though much of the project is oriented toward basic research to improve the accuracy and robustness of proteomics methods, Rosetta@home also does applied research on malaria, Alzheimer's disease, and other pathologies.
Like all BOINC projects, Rosetta@home uses idle computer processing resources from volunteers' computers to perform calculations on individual workunits. Completed results are sent to a central project server where they are validated and assimilated into project databases. The project is cross-platform, and runs on a wide variety of hardware configurations. Users can view the progress of their individual protein structure prediction on the Rosetta@home screensaver.
Excerpted from Wikipedia’s “Rosetta@home” article, available under the CC BY-SA 4.0 licence.