Grouping of reactions around key metabolite branch points can facilitate the study of metabolic control of complex metabolic networks. This top-down Metabolic Control Analysis is exemplified through the introduction of group (flux, as well as concentration) control coefficients whose magnitudes prov
Errors Associated with Experimental Determinations of Enzyme Flux Control Coefficients
✍ Scribed by Gösta Pettersson
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 381 KB
- Volume
- 179
- Category
- Article
- ISSN
- 0022-5193
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✦ Synopsis
An analysis is presented of the likely statistical error and mathematical bias of experimental enzyme flux control coefficient estimates, calculated from observations of the flux changes caused by finite changes of the concentration of an enzyme in a metabolic pathway. The results indicate that such control coefficients are not likely to be determined with satisfactory precision unless the experimental data are evaluated by hyperbolic regression analysis, and the actual flux vs enzyme concentration profile conforms closely to a hyperbolic relationship. It is concluded that it may not normally be feasible to obtain reliable experimental estimates of enzyme flux control coefficients in realistic systems by the examined direct approach. Arguments are presented to show that the error situation is unlikely to be more favourable as it concerns the indirect calculation of flux control coefficients from transient-state kinetic data or from experimental estimates of infinitesimally defined quantities such as elasticity coefficients and co-response coefficients.
📜 SIMILAR VOLUMES
The errors associated with experimental application of metabolic control analysis are difficult to assess. In this paper, we give examples where Monte-Carlo simulations of published experimental data are used in error analysis. Data was simulated according to the mean and error obtained from experim