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We construct metabolic networks based on metabolite –metabolite correlations and identify various network topology parameters.
The transcriptional networks based on microarray data, protein-protein interaction networks based on high-throughput yeast two-hybrid type of experiments and metabolic networks based on reaction annotation of the individual proteins coded by the genome are some examples.
Thus, O. tauri would be a valuable system for modelling metabolic networks based on transcriptomic data.
Ravasz et al. (2002) studied the hierarchical modular organization of metabolic networks based on a topological linkage matrix.
There are documented studies on these metabolic networks based on anaerobic degradation of some known agroindustrial wastewater constituents such as alcohols and fatty acids [ 8, 9].
Croes et al. [ 9], for example, proposed to weight nodes in metabolic networks based on their connectivity, giving a penalty to highly connected metabolites.
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Duarte, N. C. et al. Global reconstruction of the human metabolic network based on genomic and bibliomic data.
TMSA ranks metabolites comprising a metabolic network based on their ability to constrain the gamut of possible solutions to a limited, thermodynamically consistent set of internal states.
However, excluding features of the metabolic network based on connectivity alone may not reflect known biochemical properties.
We constructed the metabolic network based on the network presented by Moxley et al. [ 25].
Here we constructed a human global metabolic network based on KEGG database as our background network [ 19].
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