Literature DB >> 2520171

Use of implicit methods from general sensitivity theory to develop a systematic approach to metabolic control. I. Unbranched pathways.

M Cascante, R Franco, E I Canela.   

Abstract

It is shown that metabolic control theory (MCT), is its present form, is a particular case of general sensitivity theory, which studies the effects of parameter variations on the behavior of dynamic systems. It has been shown that metabolic control theory is obtained from this more general theory for the particular case of steady-state and linear relationships between velocities and enzyme concentrations. In such conditions the relationships between elasticities and flux control coefficients are easily obtained. These relationships are in the form of a matrix product constructed in a priori form. Relationships between combined response coefficients and concentration control coefficients are presented. The use of implicit methodology from general sensitivity theory provides a generalization of MCT, which is applied to unbranched pathways. For this particular case, provided the matrices have been properly constructed, the matrix of global properties (flux and concentration control coefficients) can be obtained by inversion of the matrix of local properties (elasticities). The theorems of MCT (concentration summation, flux summation, flux connectivity, and concentration connectivity) applicable for unbranched pathways are directly obtained by inspection of the matrix product. With these results, the present theoretical basis of MCT is extended with a more structured framework that allows a wider range of application. The results make clearer the relatedness of MCT to the more general approach provided by biochemical systems theory (BST).

Mesh:

Year:  1989        PMID: 2520171     DOI: 10.1016/0025-5564(89)90067-9

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  14 in total

1.  Product dependence and bifunctionality compromise the ultrasensitivity of signal transduction cascades.

Authors:  Fernando Ortega; Luis Acerenza; Hans V Westerhoff; Francesc Mas; Marta Cascante
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-05       Impact factor: 11.205

2.  Elasticity analysis and design for large metabolic responses produced by changes in enzyme activities.

Authors:  Fernando Ortega; Luis Acerenza
Journal:  Biochem J       Date:  2002-10-01       Impact factor: 3.857

Review 3.  Metabolic control analysis: a survey of its theoretical and experimental development.

Authors:  D A Fell
Journal:  Biochem J       Date:  1992-09-01       Impact factor: 3.857

4.  Quantitative analysis of metabolic regulation. A graph-theoretic approach using spanning trees.

Authors:  A K Sen
Journal:  Biochem J       Date:  1991-04-01       Impact factor: 3.857

Review 5.  Quantitative approaches to the analysis of the control and regulation of microbial metabolism.

Authors:  H V Westerhoff; W van Heeswijk; D Kahn; D B Kell
Journal:  Antonie Van Leeuwenhoek       Date:  1991 Oct-Nov       Impact factor: 2.271

6.  Control analysis of transition times. Extension of analysis and matrix method.

Authors:  M Cascante; N V Torres; R Franco; E Meléndez-Hevia; E I Canela
Journal:  Mol Cell Biochem       Date:  1991-02-27       Impact factor: 3.396

7.  Calculation of control coefficients of metabolic pathways. A flux-oriented graph-theoretic approach.

Authors:  A K Sen
Journal:  Biochem J       Date:  1991-10-01       Impact factor: 3.857

8.  Algorithms for the derivation of Flux and Concentration Control Coefficients.

Authors:  A R Schulz
Journal:  Biochem J       Date:  1991-08-15       Impact factor: 3.857

9.  Validation and steady-state analysis of a power-law model of purine metabolism in man.

Authors:  R Curto; E O Voit; A Sorribas; M Cascante
Journal:  Biochem J       Date:  1997-06-15       Impact factor: 3.857

10.  A computer program for the algebraic determination of control coefficients in Metabolic Control Analysis.

Authors:  S Thomas; D A Fell
Journal:  Biochem J       Date:  1993-06-01       Impact factor: 3.857

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