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Plant Metabolic Networks pp 211–243Cite as

Network Stoichiometry

This chapter describes approaches to modeling metabolic pathways that are based on biochemical reaction stoichiometry. These methods have some advantages over kinetic models because they do not require the determination of complicated kinetic expressions and associated kinetic parameters. Although based only upon reaction stoichiometry and mass balances, the techniques can be quite powerful in exploring the capabilities of a metabolic network. Stoichiometry-based models enable efficient calculation of theoretical yields on any nutrient [78]. The models may be used to rationally select genes for addition and/or deletion in the genome which have the most promise to significantly improve desired product yield. New targets for herbicides can be selected through a mathematical analysis of the sensitivity of inhibiting specific enzymes on growth fluxes [87]. Perhaps their greatest promise in conjunction with optimization strategies is the ability to predict metabolic fluxes to specific products or growth as a function of the environment.

Keywords

  • Metabolic Network
  • Flux Distribution
  • Flux Balance Analysis
  • Stoichiometric Matrix
  • Thermodynamic Constraint

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  1. School of Chemical Engineering, 480 Stadium Mall Dr., Purdue University, 47907, West Lafayette, IN, USA

    Nanette R. Boyle, Avantika A. Shastri & John A. Morgan

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    Boyle, N.R., Shastri, A.A., Morgan, J.A. (2009). Network Stoichiometry. In: Schwender, J. (eds) Plant Metabolic Networks. Springer, New York, NY. https://doi.org/10.1007/978-0-387-78745-9_8

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