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Clarke BL. Stoichiometric network analysis. Cell Biophys. 1988;12:237-53doi: 10.1007/BF02918360.
Clarke, B. L. (1988). Stoichiometric network analysis. Cell biophysics, 12237-53. https://doi.org/10.1007/BF02918360
Clarke, B L. "Stoichiometric network analysis." Cell biophysics vol. 12 (1988): 237-53. doi: https://doi.org/10.1007/BF02918360
Clarke BL. Stoichiometric network analysis. Cell Biophys. 1988 Jan-Jun;12:237-53. doi: 10.1007/BF02918360. PMID: 2453282.
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Cell Biophys. 1988 Jan-Jun;12:237-53. doi: 10.1007/BF02918360.

Stoichiometric network analysis.

Cell biophysics

B L Clarke

Affiliations

  1. Department of Chemistry, University of Alberta, Edmonton, Canada.

PMID: 2453282 DOI: 10.1007/BF02918360

Abstract

Stoichiometric network analysis is a systematic, general approach to the qualitative, nonlinear dynamics of chemical reaction mechanisms and other systems with stoichiometry. The advantage of a qualitative approach is that no rate constants are needed to determine qualitative features of the dynamics. If one is interested in stability, the approach yields inequalities among the steady-state concentrations and the rate of flow through sequences of important reactions. These parameters are often the ones most easily measured experimentally. By comparing such experiments with the inequalities derived from stoichiometric network analysis, one can often prove that certain mechanisms cannot account for oscillations or other types of observed dynamics. The approach covers far more than stability. The existence of steady states of zero concentration has an interesting mathematics and applies to chemical evolution. The folding of the manifold of steady states can be found by direct calculation and plays a role in switching enzymes on and off. The approach leads to theorems showing that some steady states are globally attracting or, possibly, that a region containing chaos or an oscillation is globally attracting. The subject of sensitivity analysis has been reformulated in this context. Algorithms that apply many of the theoretical results to chemical networks have been developed and combined into a computer program package.

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References

  1. J Theor Biol. 1966 Apr;10(3):442-59 - PubMed

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