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 language | English |
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Title of host publication | Systems Metabolic Engineering |
Publisher | Springer Netherlands |
Pages | 25-55 |
Number of pages | 31 |
Volume | 9789400745346 |
ISBN (Electronic) | 9789400745346 |
ISBN (Print) | 9400745338, 9789400745339 |
DOIs | |
Publication status | Published - 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