Predictor@home

From Freepedia

Predictor@home is a distributed computing project that uses BOINC and is run by the Scripps Research Institute to predict protein structure from protein sequence in the context of the 6th biannual CASP, or Critical Assessment of Techniques for Protein Structure Prediction. A major goal of the project is the testing and evaluating of new algorithms to predict both known and unknown protein structures.

Predictor@home is complementary to Folding@home. Whereas the latter aims to study the dynamics of protein folding, Predictor@home aims to specify what the final tertiary structure will be. Also, the two projects differ in the infrastructure they use. Predictor@home uses BOINC, whereas Folding@home maintains its own separate infrastructure, but plans on transitioning to BOINC and is currently operating a beta test under the BOINC architecture.

See also

• List of distributed computing projects
• Distributed computing
• BOINC
• Scripps Research Institute

External links

• Predictor@home Website
  
• Berkeley Open Infrastructure for Network Computing (BOINC)