Identification of critical connectors in the directed reaction-centric graphs of microbial metabolic networks.

ABSTRACT:

Background

Detection of central nodes in asymmetrically directed biological networks depends on centrality metrics quantifying individual nodes' importance in a network. In topological analyses on metabolic networks, various centrality metrics have been mostly applied to metabolite-centric graphs. However, centrality metrics including those not depending on high connections are largely unexplored for directed reaction-centric graphs.

Results

We applied directed versions of centrality metrics to directed reaction-centric graphs of microbial metabolic networks. To investigate the local role of a node, we developed a novel metric, cascade number, considering how many nodes are closed off from information flow when a particular node is removed. High modularity and scale-freeness

SUBMITTER: Kim EY 

PROVIDER: S-EPMC6567475 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature