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  Metabolic network structure determines key aspects of functionality and regulation

Stelling, J., Klamt, S., Bettenbrock, K., Schuster, S., & Gilles, E. D. (2002). Metabolic network structure determines key aspects of functionality and regulation. Nature, 420(6912), 190-193. doi:10.1038/nature01166.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-A05B-8 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-AD2A-C
Genre: Journal Article
Alternative Title : Nature

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 Creators:
Stelling, J.1, Author              
Klamt, S.1, Author              
Bettenbrock, K.1, Author              
Schuster, S.2, Author
Gilles, E. D.1, Author              
Affiliations:
1Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              
2Max Delbruck Ctr Mol Med, D-13092 Berlin, Germany, ou_persistent22              

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 Abstract: The relationship between structure, function and regulation in complex cellular networks is a still largely open question(1- 3). Systems biology aims to explain this relationship by combining experimental and theoretical approaches(4). Current theories have various strengths and shortcomings in providing an integrated, predictive description of cellular networks. Specifically, dynamic mathematical modelling of large-scale networks meets difficulties because the necessary mechanistic detail and kinetic parameters are rarely available. In contrast, structure-oriented analyses only require network topology, which is well known in many cases. Previous approaches of this type focus on network robustness(5) or metabolic phenotype(2,6), but do not give predictions on cellular regulation. Here, we devise a theoretical method for simultaneously predicting key aspects of network functionality, robustness and gene regulation from network structure alone. This is achieved by determining and analysing the non- decomposable pathways able to operate coherently at steady state (elementary flux modes). We use the example of Escherichia coli central metabolism to illustrate the method. © 2013 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. [accessed 2013 June 13th]

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Language(s): eng - English
 Dates: 2002
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1038/nature01166
eDoc: 13791
 Degree: -

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Title: Nature
  Alternative Title : Nature
Source Genre: Journal
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Pages: - Volume / Issue: 420 (6912) Sequence Number: - Start / End Page: 190 - 193 Identifier: ISSN: 0028-0836