title: The large-scale organization of metabolic networks.
abstract: In a cell or microorganism, the processes that generate mass, energy, information transfer and cell-fate specification are seamlessly integrated through a complex network of cellular constituents and reactions. However, despite the key role of these networks in sustaining cellular functions, their large-scale structure is essentially unknown. 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.
authors.affiliation: Department of Physics, University of Notre Dame, Indiana 46556, USA.
authors.forename: H
authors.initials: H
authors.lastname: Jeong
authors.forename: B
authors.initials: B
authors.lastname: Tombor
authors.forename: R
authors.initials: R
authors.lastname: Albert
authors.forename: Z N
authors.initials: ZN
authors.lastname: Oltvai
authors.forename: A L
authors.initials: AL
authors.lastname: Barabási
mesh_terms: D000818:Animals; D001105:Archaea / Q000378:metabolism; D001419:Bacteria / Q000378:metabolism; D016208:Databases, Factual; D017753:Ecosystem; D005057:Eukaryotic Cells / Q000378:metabolism; D008660:Metabolism; D008954:Models, Biological