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Damage, connectivity and essentiality in protein–protein interaction networks

✍ Scribed by Jean Schmith; Ney Lemke; José C.M. Mombach; Patrícia Benelli; Cláudia K. Barcellos; Guilherme B. Bedin

Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
261 KB
Volume
349
Category
Article
ISSN
0378-4371

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✦ Synopsis

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.

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