## Abstract When a metabolic system undergoes a transition between steady states, the lag or transition time of the system is determined by the aggregated lifetimes of the metabolite pools. This allows the transition time, and hence the temporal responsiveness of the system, to be estimated from a
The Fusion of Control Analysis and Temporal Analysis of Metabolic Systems
โ Scribed by John S. Easterby
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 169 KB
- Volume
- 182
- Category
- Article
- ISSN
- 0022-5193
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โฆ Synopsis
Metabolic control analysis and the study of the transient response of metabolic systems had coincident births in 1973. They developed along parallel lines until in 1989/90 their complete fusion occurred. It was evident that the control of the transient response of metabolism could be described in terms of general control properties, such as the flux and concentration control coefficients and elasticities. Consequently, it is possible to define temporal control coefficients which relate to the lifetimes of individual metabolite pools or to the total system temporal response. These control coefficients are readily expressed in terms of the flux and concentration control coefficients. Therefore, to analyse the control of metabolism is also to analyse its temporal response.
๐ SIMILAR VOLUMES
In this minireview, several different approaches to derivation of the theorems and relationships of Metabolic Control Analysis (MCA) are discussed and an alternative approach is presented. This new approach consists of solving the steady-state mass balances for the intracellular metabolites using li
Metabolic Control Analysis had originally been devised to quantify the effects of changes in enzyme concentrations on steady-state fluxes and metabolite concentrations. In many situations, fluxes and concentrations are not the only relevant variables. A formalism is presented by which the control of
A central quantity for the analysis of the interdependence of control coefficients is the Jacobian H of the pathway. For a simple metabolic chain, H is known to be tridiagonal. Its inverse H-1, which is required to calculate control coefficients, is semi-separable. A semi-separable nxn matrix (aij)