Metabolism is a set of fundamental processes that play important roles in a plethora of biological and medical
contexts. It is understood that the topological information of reconstructed metabolic networks, such as modular organization,
has crucial implications on biological functions. Recent interpretations of modularity in network settings provide a
view of multiple network partitions induced by different resolution parameters. Here we ask the question: How do multiple
network partitions affect the organization of metabolic networks? Since network motifs are often interpreted as the super
families of evolved units, we further investigate their impact under multiple network partitions and investigate how the
distribution of network motifs influences the organization of metabolic networks. We studied Homo sapiens, Saccharomyces
cerevisiae and Escherichia coli metabolic networks; we analyzed the relationship between different community
structures and motif distribution patterns. Further, we quantified the degree to which motifs participate in the modular organization
of metabolic networks.
Keywords: Metabolic network, network community, multi-scale modularity, motifs.
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