Kinetic modeling of metabolic networks

Daniel C. Zielinski, Bernhard O. Palsson*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Citations (Scopus)

Abstract

In the last decade, genome-scale stoichiometric models have played an increasing role in understanding metabolism under steady state. In order to study metabolic response to perturbation at timescales before a steady state is reached, however, a more explicit kinetic model must be developed. While kinetic models of metabolism have been around for longer than their stoichiometric counterparts, progress towards practical and useful kinetics models of metabolism has been slower, due to the difficulty of specifying necessary parameters. However, the increased ability to measure metabolomics and proteomics profiles in high throughput may soon make accurate kinetic models of metabolism a reality. In this chapter, we review theoretical concepts useful for developing kinetic models of metabolism, practical difficulties with constructing such models, and methods that have been developed in an effort to circumvent these difficulties.

Original languageEnglish
Title of host publicationSystems Metabolic Engineering
PublisherSpringer Netherlands
Pages25-55
Number of pages31
Volume9789400745346
ISBN (Electronic)9789400745346
ISBN (Print)9400745338, 9789400745339
DOIs
Publication statusPublished - 1 Aug 2013

Bibliographical note

Publisher Copyright:
© 2012 Springer Science+Business Media Dordrecht. All rights are reserved.

Other keywords

  • Data fitting
  • Dynamics
  • Elasticity coefficient
  • Equilibrium constants
  • Gibbs free energy
  • Gradients
  • Haldane
  • Hill
  • Kinetic modeling
  • Kinetic parameters
  • Large-scale
  • Law of mass action
  • Linear analysis
  • Matrix
  • Metabolite profiling
  • Michaelis-Menten
  • Nonlinearity
  • Parameter sensitivity
  • Proteome profiling
  • Rate laws
  • Reaction mechanism
  • Spatial heterogeneity
  • Stoichiometric models
  • Structural hierarchies
  • Temporal hierarchies

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