The large-scale organization of metabolic networks
By J. H., T. B, A. R., Oltvai Z N, B. A.. Nature, 2000
5,021 citations recorded by the source corpus.
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.
Subfields: Biomedical Engineering, Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/d1c5900f63f06a17d9f549f0a44037b758499bc8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Bernhard O. Palsson
- Costas D. Maranas
- Jennie L. Reed
- Ines Thiele
- Jason A. Papin
- Anthony P. Burgard
- C. Schilling
- Matthew A. Oberhardt
In Molecular Biology
- Bernhard O. Palsson
- Mark Newman
- Albert-László Barabási
- David S. Wishart
- Jennie L. Reed
- Olaf Sporns
- Santo Fortunato
- Ernst Dieter Gilles
In Plant Science
- Jordi Bascompte
- J. Olesen
- Pedro Jordano
- Jennifer A. Dunne
- J. M. Montoya
- M. A. Porter
- R. V. Solé
- Richard J. Williams
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