Genome-scale metabolic networks.
Journal article

Genome-scale metabolic networks.

  • Terzer M Department of Biosystems Science and Engineering, ETH Zurich, Switzerland.
  • Maynard ND Department of Bioengineering, Stanford University, Stanford, CA, USA.
  • Covert MW Department of Bioengineering, Stanford University, Stanford, CA, USA.
  • Stelling J Department of Biosystems Science and Engineering, ETH Zurich, Switzerland.
  • 2010-09-14
Published in:
  • Wiley interdisciplinary reviews. Systems biology and medicine. - 2009
English During the last decade, models have been developed to characterize cellular metabolism at the level of an entire metabolic network. The main concept that underlies whole-network metabolic modeling is the identification and mathematical definition of constraints. Here, we review large-scale metabolic network modeling, in particular, stoichiometric- and constraint-based approaches. Although many such models have been reconstructed, few networks have been extensively validated and tested experimentally, and we focus on these. We describe how metabolic networks can be represented using stoichiometric matrices and well-defined constraints on metabolic fluxes. We then discuss relatively successful approaches, including flux balance analysis (FBA), pathway analysis, and common extensions or modifications to these approaches. Finally, we describe techniques for integrating these approaches with models of other biological processes.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://sonar.ch/global/documents/202714
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