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
Automatic analysis of the control of metabolic networks
β Scribed by Mustafa Bayram
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 473 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0010-4825
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β¦ Synopsis
In this paper we apply computer algebra techniques to analyze the control of metabolic networks. For this purpose, a computer program based on metabolic control theory was developed. When a stoichiometry matrix of the metabolic networks is given, the program calculates all the control coefficients (flux and metabolic control coefficients, summation and connectivity relationships) using elasticity coefficients. The program can be applied to any metabolic network which includes unlimited steps and intermediate metabolites.
π SIMILAR VOLUMES
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 te
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
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)