Currency and commodity metabolites: their identification and relation to the modularity of metabolic networks

Currency and commodity metabolites: their identification and relation to the modularity of metabolic networks

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The large-scale shape and function of metabolic networks are intriguing topics of systems biology. Such networks are on one hand commonly regarded as modular (i.e. built by a number of relatively independent subsystems), but on the other hand they are robust in a way not necessarily expected of a purely modular system. To address this question, we carefully discuss the partition of metabolic networks into subnetworks. The practice of preprocessing such networks by removing the most abundant substances, ‘currency metabolites’, is formalized into a network-based algorithm. We study partitions for metabolic networks of many organisms and find cores of currency metabolites and modular peripheries of what we call ‘commodity metabolites’. The networks are found to be more modular than random networks but far from perfectly divisible into modules. We argue that cross-modular edges are the key for the robustness of metabolism.


    1. 1)
      • The citric acid cycle
    2. 2)
      • Biochemistry
    3. 3)
      • Robustness and Evolvability in Living Systems
    4. 4)
      • Mathematical modelling of dynamics and control in metabolic networks. Part IV. Local stability analysis of single biochemical control loops
    5. 5)
      • Complex networks theory for analyzing metabolic networks
    6. 6)
      • The metabolic network of Escherichia coli is not small
    7. 7)
      • Evidence for dynamically organized modularity in the yeast protein-protein interaction network
    8. 8)
      • Functional cartography of complex metabolic networks
    9. 9)
      • Subnetwork hierarchies of biochemical pathways
    10. 10)
      • Reconstruction of metabolic networks from genome data and analysis of their global structure for various organisms
    11. 11)
      • Decomposition of metabolic network into functional modules based on the global connectivity structure of reaction graph
    12. 12)
      • Hierarchical organization of modularity in metabolic networks
    13. 13)
      • Exploring the pathway structure of metabolism: decomposition into subnetworks and application to Mycoplasma pneumoniae
    14. 14)
      • The KEGG resource for deciphering the genome
    15. 15)
      • The small world inside large metabolic networks
    16. 16)
      • The large-scale organization of metabolic networks
    17. 17)
      • Metabolites: a helping hand for pathway evolution?
    18. 18)
      • LIGAND: chemical database for enzyme reactions
    19. 19)
      • Community detection in complex networks using extremal optimization
    20. 20)
      • Modularity from fluctuations in random graphs and complex networks
    21. 21)
      • Modularity and community structure in networks
    22. 22)
      • Simple methods for simulating sociomatrices with given marginal totals
    23. 23)
      • Scale-rich metabolic networks
    24. 24)
      • Biochemical systems analysis: a study of function and design in molecular biology
    25. 25)
      • Biological robustness
    26. 26)
      • Relevant cycles in chemical reaction networks

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