Analysis of Human Metabolic Core Using Hub-Based Centrality

Because detailed kinetic parameters are hardly available, topological analysis of inter-networks has proved to be greatly helpful to analyze genome-scale metabolic networks. Among lots of topological analysis approaches, centrality methods could be help to determine the most important nodes of a network and thus in helping to look for important metabolites in metabolic networks, as well as drug target and therapy design. In this paper, according to the standard hub-based centrality method, we studied the top 10 important metabolites in human metabolic network core with their biological and therapeutic signification.