Damage, connectivity and essentiality in protein–protein interaction networks

Jean Schmith, Ney Lemke, José C.M. Mombach, Patrícia Benelli, Cláudia K. Barcellos and Guilherme B. Bedin

Physica A: Statistical Mechanics and its Applications, 2005, vol. 349, issue 3, 675-684

Abstract: The proteome, a set of proteins expressed in an organism, is organized in an intricate web called the protein–protein interaction (PPI) network. In this article we propose a topological parameter called damage, that measures the consequences of the deletion of a protein from the network. We investigate different PPI data sets using this parameter and also traditional ones: the connectivity and the clusterization coefficient. We show that damage histogram obeys a power law in all data sets, and that proteins that cause a large damage are, with high probability, essential. For data sets that consider physical interactions the PPI network is a hierarchical scale-free network, while for data sets that consider functional interactions the PPI network is a scale-free graph.

Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:349:y:2005:i:3:p:675-684

DOI: 10.1016/j.physa.2004.10.038

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