| Description |
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Background: Graph-based modularity analysis has emerged as an important
tool to study the functional organization of biological networks. However, few
methods are available to study state-dependent changes in network modularity using
biological activity data. We develop a weighting scheme, based on metabolic flux
data, to adjust the ... read moreinteraction distances in a reaction-centric graph model of a
metabolic network. The weighting scheme was combined with a hierarchical module
assignment algorithm featuring the preservation of metabolic cycles to examine the
effects of cellular differentiation and enzyme inhibitions on the functional
organization of adipocyte metabolism.
Keywords: Modularity, Metabolic networks, Metabolic flux,
Edge-weighting, Adipocyte metabolism, Retroactivity.
Springer Open.read less
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