Cascading failure and robustness in metabolic networks

Research output: Contribution to journalArticlepeer-review

87 Scopus citations


We investigate the relationship between structure and robustness in the metabolic networks of Escherichia coli, Methanosarcina barkeri, Staphylococcus aureus, and Saccharomyces cerevisiae, using a cascading failure model based on a topological flux balance criterion. We find that, compared to appropriate null models, the metabolic networks are exceptionally robust. Furthermore, by decomposing each network into rigid clusters and branched metabolites, we demonstrate that the enhanced robustness is related to the organization of branched metabolites, as rigid cluster formations in the metabolic networks appear to be consistent with null model behavior. Finally, we show that cascading in the metabolic networks can be described as a percolation process.

Original languageEnglish (US)
Pages (from-to)13223-13228
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Issue number36
StatePublished - Sep 9 2008


  • Complex networks
  • Metabolism
  • Percolation
  • Topological flux balance

ASJC Scopus subject areas

  • General


Dive into the research topics of 'Cascading failure and robustness in metabolic networks'. Together they form a unique fingerprint.

Cite this