Literature DB >> 8944170

Co-response analysis: a new experimental strategy for metabolic control analysis.

J H Hofmeyr1, A Cornish-Bowden.   

Abstract

The formulation of the standard summation and connectivity relationships as a statement that the matrix of all the elasticities in a system is the inverse of the matrix of all the control coefficients is completely general, provided that only control coefficients for independent fluxes and concentrations are considered, and that the elasticity matrix is written to take account of the stoichiometry of the pathway and the implied dependences between concentrations. This generally implies that co-response analysis is also general, i.e. that all of the elasticities and all of the control coefficients in any system, regardless of branching, feedback effects, moiety conservation or other complications, can be determined by comparing the effects of perturbations of the enzyme activities on the steady-state fluxes and concentrations of the pathway. The approach requires no quantitative information about the magnitudes of the effects on the individual enzyme activities, and consequently no enzymes need to be studied in isolation from the pathway.

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Year:  1996        PMID: 8944170     DOI: 10.1006/jtbi.1996.0176

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


  9 in total

1.  Protein phosphorylation can regulate metabolite concentrations rather than control flux: the example of glycogen synthase.

Authors:  James R A Schafer; David A Fell; Douglas Rothman; Robert G Shulman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-26       Impact factor: 11.205

2.  Modulation of metabolite concentrations with no net effect on fluxes.

Authors:  Luz Cárdenas María; Fernando Ortega; Marta Cascante; Athel Cornish-Bowden
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

3.  Quantifying gene networks with regulatory strengths.

Authors:  Alberto de la Fuente; Pedro Mendes
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

4.  Generalization of the double-modulation method for in situ determination of elasticities.

Authors:  L Acerenza; A Cornish-Bowden
Journal:  Biochem J       Date:  1997-10-01       Impact factor: 3.857

Review 5.  Control and regulation of pathways via negative feedback.

Authors:  Herbert M Sauro
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

6.  Control of glycolytic dynamics by hexose transport in Saccharomyces cerevisiae.

Authors:  K A Reijenga; J L Snoep; J A Diderich; H W van Verseveld; H V Westerhoff; B Teusink
Journal:  Biophys J       Date:  2001-02       Impact factor: 4.033

7.  Capillary isotachophoresis study of lipoprotein network sensitive to apolipoprotein E phenotype. 2. ApoE and apoC-III relations in triglyceride clearance.

Authors:  Alexander D Dergunov; Anne Ponthieux; Maxim V Mel'kin; Daniel Lambert; Olga Yu Sokolova; Nadir M Akhmedzhanov; Sophie Visvikis-Siest; Gerard Siest
Journal:  Mol Cell Biochem       Date:  2009-01-13       Impact factor: 3.396

8.  Understanding regulation of metabolism through feasibility analysis.

Authors:  Emrah Nikerel; Jan Berkhout; Fengyuan Hu; Bas Teusink; Marcel J T Reinders; Dick de Ridder
Journal:  PLoS One       Date:  2012-07-09       Impact factor: 3.240

9.  A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kinetics.

Authors:  I Emrah Nikerel; Wouter A van Winden; Walter M van Gulik; Joseph J Heijnen
Journal:  BMC Bioinformatics       Date:  2006-12-21       Impact factor: 3.169

  9 in total

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