Dynamic properties of network motifs contribute to biological network organization

Robert J. Prill, Pablo A. Iglesias, Andre Levchenko

Research output: Contribution to journalArticle

Abstract

Biological networks, such as those describing gene regulation, signal transduction, and neural synapses, are representations of large-scale dynamic systems. Discovery of organizing principles of biological networks can be enhanced by embracing the notion that there is a deep interplay between network structure and system dynamics. Recently, many structural characteristics of these non-random networks have been identified, but dynamical implications of the features have not been explored comprehensively. We demonstrate by exhaustive computational analysis that a dynamical property-stability or robustness to small perturbations-is highly correlated with the relative abundance of small subnetworks (network motifs) in several previously determined biological networks. We propose that robust dynamical stability is an influential property that can determine the non-random structure of biological networks.

Original languageEnglish (US)
Article numbere343
Pages (from-to)1881-1892
Number of pages12
JournalPLoS biology
Volume3
Issue number11
DOIs
StatePublished - Nov 1 2005

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)

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