IMPRECO: Distributed prediction of protein complexes

Authors:
Mario Cannataro;Pietro H. Guzzi;Pierangelo Veltri
Affiliations:
Bioinformatics Laboratory, Department of Experimental Medicine and Clinic, University Magna Graecia, Viale Europa, 88100 Catanzaro, Italy;Bioinformatics Laboratory, Department of Experimental Medicine and Clinic, University Magna Graecia, Viale Europa, 88100 Catanzaro, Italy;Bioinformatics Laboratory, Department of Experimental Medicine and Clinic, University Magna Graecia, Viale Europa, 88100 Catanzaro, Italy
Venue:
Future Generation Computer Systems
Year:
2010

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Abstract

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. Protein complexes are a subset of mutually interacting proteins. Starting from a PPI network, protein complexes may be extracted by using computational methods. The paper proposes a new complexes meta-predictor which is capable of predicting protein complexes 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.