Topological analysis of protein co-abundance networks identifies novel host targets important for HCV infection and pathogenesis.

These results show that all four topological measures provide highly significant ( p -value < 1e-16) enrichment in pathogen targets, with betweenness and clustering coefficient displaying highest enrichment, thereby demonstrating the added value of incorporating PPI data into inferred networks for a generalizable approach to identify target regulatory nodes within networks.

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