A hierarchical model of metabolic machinery based on the kcore decomposition of plant metabolic networks.
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ABSTRACT: Modeling the basic structure of metabolic machinery is a challenge for modern biology. Some models based on complex networks have provided important information regarding this machinery. In this paper, we constructed metabolic networks of 17 plants covering unicellular organisms to more complex dicotyledonous plants. The metabolic networks were built based on the substrate-product model and a topological percolation was performed using the kcore decomposition. The distribution of metabolites across the percolation layers showed correlations between the metabolic integration hierarchy and the network topology. We show that metabolites concentrated in the internal network (maximum kcore) only comprise molecules of the primary basal metabolism. Moreover, we found a high proportion of a set of
SUBMITTER: Filho HA
PROVIDER: S-EPMC5937743 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
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