page_title: Rosetta@home
section_title: Volunteer contributions
hierarchical_section_title: Rosetta@home / Volunteer contributions
caption_attribution_description: English: Bar chart showing Rosetta@home credit for all users for July 29, 2008 and the previous 59 days. Similar charts available at [1].
context_page_description: Rosetta@home is a distributed computing project for protein structure prediction on the Berkeley Open Infrastructure for Network Computing platform, run by the Baker laboratory at the University of Washington. 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 494,953 GigaFLOPS on average as of March 26, 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.
context_section_description: Rosetta@home depends on computing power donated by individual project members for its research.  As of March 28, 2020, about 53,000 users from 150 countries were active members of Rosetta@home, together contributing idle processor time from about 54,800 computers for a combined average performance of over 1.7 PetaFLOPS.
  Users are granted BOINC credits as a measure of their contribution. The credit granted for each workunit is the number of decoys produced for that workunit multiplied by the average claimed credit for the decoys submitted by all computer hosts for that workunit.  This custom system was designed to address significant differences between credit granted to users with the standard BOINC client and an optimized BOINC client, and credit differences between users running Rosetta@home on Windows and Linux operating systems.  The amount of credit granted per second of CPU work is lower for Rosetta@home than most other BOINC projects.  Rosetta@home is thirteenth out of over 40 BOINC projects in terms of total credit.
  Rosetta@home users who predict protein structures submitted for the CASP experiment are acknowledged in scientific publications regarding their results. Users who predict the lowest energy structure for a given workunit are featured on the Rosetta@home homepage as Predictor of the Day, along with any team of which they are a member.  A User of the Day is chosen randomly each day to be on the homepage also, from among users who have made a Rosetta@home profile.
caption: Bar chart showing cumulative credit per day for Rosetta@home over a 60-day period, indicating its computing power during the CASP8 experiment
exif: {}