The large-scale organization of metabolic networks

Authors: H. Jeong, B. Tombor, R. Albert, Z. N. Oltvai, A.-L. Barabási

Publication Date: October 5, 2000

Journal: Nature 407, 651–655 (2000)

Here we present a systematic comparative mathematical analysis of the metabolic networks of 43 organisms representing all three domains of life.We show that, despite significant variation in their individual constituents and pathways, these metabolic networks have the same topological scaling properties and show striking similarities to the inherent organization of complex non-biological systems. This may indicate that metabolic organization is not only identical for all living organisms, but also complies with the design principles of robust and error-tolerant scale-free networks, and may represent a common blueprint for the large-scale organization of interactions among all cellular constituents.

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Error and attack tolerance of complex networks