IMPRECO: Distributed prediction of protein complexes

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• 作者：Mario Cannataro ; Pietro H. Guzzi ; Pierangelo Veltri
• 关键词：Protein-to-protein interactions ; Protein complexes prediction ; Graph-clustering ; Meta-predictor
• 刊名：Future Generation Computer Systems
• 出版年：2010
• 出版时间：March 2010
• 年：2010
• 卷：26
• 期：3
• 页码：434-440
• 全文大小：2231 K

文摘

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.