Literature DB >> 2779266

The matrix method of metabolic control analysis: its validity for complex pathway structures.

J R Small1, D A Fell.   

Abstract

The sensitivities of the variables of a metabolic system (such as fluxes and concentrations) to variations in enzyme concentration are expressed in metabolic control analysis as control coefficients. The matrix method is a system of writing matrix equations that generate expressions for the control coefficients in terms of the characteristics of the components (principally the enzymes). Previously, the matrix method has been considered in terms of simple pathway structures; here we justify its applicability to complex pathways, such as those with multiple branches. It is shown that this requires modification of the branch point relationship to take account of changes of flux along the limbs of the branch and of stoichiometric factors. The method of deriving the flux control coefficients with respect to different fluxes in the system is extended to cope with these circumstances.

Mesh:

Year:  1989        PMID: 2779266     DOI: 10.1016/s0022-5193(89)80225-5

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  6 in total

Review 1.  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

Review 2.  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

3.  Control involving metabolism and gene expression: the square-matrix method for modular decomposition.

Authors:  H V Westerhoff; D Kahn
Journal:  Acta Biotheor       Date:  1993-06       Impact factor: 1.774

4.  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

5.  What mRNA Abundances Can Tell us about Metabolism.

Authors:  Andreas Hoppe
Journal:  Metabolites       Date:  2012-09-12

6.  Integrating systemic and molecular levels to infer key drivers sustaining metabolic adaptations.

Authors:  Pedro de Atauri; Míriam Tarrado-Castellarnau; Josep Tarragó-Celada; Carles Foguet; Effrosyni Karakitsou; Josep Joan Centelles; Marta Cascante
Journal:  PLoS Comput Biol       Date:  2021-07-23       Impact factor: 4.475

  6 in total

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