Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9727860 | Physica A: Statistical Mechanics and its Applications | 2005 | 10 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Jean Schmith, Ney Lemke, José C.M. Mombach, PatrÃcia Benelli, Cláudia K. Barcellos, Guilherme B. Bedin,