Detection of driver metabolites in the human liver metabolic network using structural controllability analysis.

ABSTRACT:

Background

Abnormal states in human liver metabolism are major causes of human liver diseases ranging from hepatitis to hepatic tumor. The accumulation in relevant data makes it feasible to derive a large-scale human liver metabolic network (HLMN) and to discover important biological principles or drug-targets based on network analysis. Some studies have shown that interesting biological phenomenon and drug-targets could be discovered by applying structural controllability analysis (which is a newly prevailed concept in networks) to biological networks. The exploration on the connections between structural controllability theory and the HLMN could be used to uncover valuable information on the human liver metabolism from a fresh perspective.

Results

We applied structural con

SUBMITTER: Liu X 

PROVIDER: S-EPMC4024020 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature