Wikipedia
Predictor@home was a distributed computing project that used BOINC. It was established 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 was the testing and evaluating of new algorithms to predict both known and unknown protein structures. The project was most recently run by the University of Michigan.
Predictor@home was complementary to Folding@home. Whereas the latter aims to study the dynamics of protein folding, Predictor@home aimed to specify what the final tertiary structure will be. Also, the two projects differ significantly in the infrastructure they use. Predictor@home used BOINC, whereas Folding@home maintains its own software completely outside of BOINC.
However, for a time, Predictor@home competed with other BOINC protein structure prediction projects, such as Rosetta@home. Each uses different methods of rapidly and reliably predicting the final tertiary structure.
Predictor@home is currently inactive.