IMPRECO: Distributed prediction of protein complexes

Proteins interact among themselves, and different interactions form a very huge number of possible combinations representable as protein-to-protein interaction (PPI) networks that are mapped into graph structures. Proteincomplexes are a subset of mutually interacting proteins. Starting from a PPI network, proteincomplexes may be extracted by using computational methods. The paper proposes a new complexes meta-predictor which is capable of predicting proteincomplexes by integrating the results of different predictors. It is based on a distributed architecture that wraps predictor as web/grid services that is built on top of the grid infrastructure. The proposed meta-predictor first invokes different available predictors wrapped as services in a parallel way, then integrates their results using graph analysis, and finally evaluates the predicted results by comparing them against external databases storing experimentally determined protein complexes.