Resilience of protein–protein interaction networks as determined by their large-scale topological features

2011 ◽  
Vol 7 (4) ◽  
pp. 1263 ◽  
Author(s):  
Francisco A. Rodrigues ◽  
Luciano da Fontoura Costa ◽  
André Luiz Barbieri
2012 ◽  
Vol 482-484 ◽  
pp. 612-615
Author(s):  
Juan Mei ◽  
Ji Zhao ◽  
Yi Fu

Interaction detection methods have led to the discovery of thousands of interactions between proteins, and discerning relevance within large-scale data sets is important to present-day biology. As an important means for knowledge discovery, graph clustering attracts much attention in analysis of protein-protein interaction networks. Here, a modularity-based method was used to find communities of protein-protein interaction networks. Using this method, 177 communities were detected from a network involving 11,855 interactions among 2617 proteins in yeast and annotated according to MIPS hierarchical functional categories. We validated that these communities are indeed densely connected subgraphs.


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