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PMID: 12432396 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Metabolic network structure determines key aspects of functionality and regulation.

Nature ·Vol. 420 ·No. 6912 ·2002-11-14 ·Pages 190-3

Stelling J, Klamt S, Bettenbrock K, Schuster S, Gilles ED

Abstract

The relationship between structure, function and regulation in complex cellular networks is a still largely open question. Systems biology aims to explain this relationship by combining experimental and theoretical approaches. 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 or metabolic phenotype, 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.

MeSH Terms
Biomass Cell Physiological Phenomena Computational Biology Computer Simulation Energy Metabolism Escherichia coli/genetics,growth & development,metabolism Gene Expression Regulation, Bacterial Models, Biological Phenotype Systems Theory
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Stelling Jörg
Max Planck Institute for Dynamics of Complex Technical Systems, D-39106 Magdeburg, Germany. stelling@mpi-magdeburg.mpg.de
Klamt Steffen
Bettenbrock Katja
Schuster Stefan
Gilles Ernst Dieter
Article Info
Journal
Nature
Abbr.
Nature
ISSN
0028-0836
Published
2002-11-14
Pages
190-3
Language
English
Region
England
NLM ID
0410462
Subset
IM
Corrections
CommentIn
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