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Abstract
Recent research increasingly shows the relevance of network based approaches for our understanding of biological systems. Analyzing human protein interaction networks, we determined collective influencers (CI), defined as network nodes that damage the integrity of the underlying networks to the utmost degree. We found that CI proteins were enriched with essential, regulatory, signaling and disease genes as well as drug targets, indicating their biological significance. Also by focusing on different organisms, we found that CI proteins had a penchant to be evolutionarily conserved as CI proteins, indicating the fundamental role that collective influencers in protein interaction networks plays for our understanding of regulation, diseases and evolution.
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Details
1 University of Miami, Department of Computer Science, Coral Gables, USA (GRID:grid.26790.3a) (ISNI:0000 0004 1936 8606)
2 University of Miami, Department of Computer Science, Coral Gables, USA (GRID:grid.26790.3a) (ISNI:0000 0004 1936 8606); University of Miami, Department of Biology, Coral Gables, USA (GRID:grid.26790.3a) (ISNI:0000 0004 1936 8606); University of Miami, Sylvester Comprehensive Cancer Center, Miami, USA (GRID:grid.26790.3a) (ISNI:0000 0004 1936 8606); University of Miami, Center for Computational Science, Coral Gables, USA (GRID:grid.26790.3a) (ISNI:0000 0004 1936 8606)