Literature DB >> 18576589

Matrix method for determining steps most rate-limiting to metabolic fluxes in biotechnological processes.

H V Westerhoff1, D B Kell.   

Abstract

The metabolic control theory developed by Kacser, Burns, Heinrich, and Rapoport is briefly outlined, extended, and transformed so as optimally to address some biotechnological questions. The extensions include (i) a new theorem that relates the control of metabolite concentrations by enzyme activities to flux ratios at branches in metabolic pathways; (ii) a new theorem that does the same for the control of the distribution of the flux over two branches; (iii) a method that expresses these controls into properties (the so-called elasticity coefficients) of the enzymes in the pathway; and (iv) a theorem that relates the effects of changes in metabolite concentrations on reaction rates to the effects of changes in enzyme properties on the same rates. Matrix equations relating the flux control and concentration control coefficients to the elasticity coefficients of enzymes in simple linear and branched pathways incorporating feedback are given, together with their general solutions and a numerical example. These equations allow one to develop rigorous criteria by which to decide the optimal strategy for the improvement of a microbial process. We show how this could be used in deciding which property of which enzyme should be changed in order to obtain the maximal concentration of a metabolite or the maximal metabolic flux.

Year:  1987        PMID: 18576589     DOI: 10.1002/bit.260300115

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  14 in total

Review 1.  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

2.  Quantifying gene networks with regulatory strengths.

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

3.  Systems biology towards life in silico: mathematics of the control of living cells.

Authors:  Hans V Westerhoff; Alexey Kolodkin; Riaan Conradie; Stephen J Wilkinson; Frank J Bruggeman; Klaas Krab; Jan H van Schuppen; Hanna Hardin; Barbara M Bakker; Martijn J Moné; Katja N Rybakova; Marco Eijken; Hans J P van Leeuwen; Jacky L Snoep
Journal:  J Math Biol       Date:  2008-02-16       Impact factor: 2.259

4.  Ensemble modeling of metabolic networks.

Authors:  Linh M Tran; Matthew L Rizk; James C Liao
Journal:  Biophys J       Date:  2008-09-26       Impact factor: 4.033

5.  Thermodynamics of the control of metabolism.

Authors:  H V Westerhoff; P J Plomp; A K Groen; R J Wanders
Journal:  Cell Biophys       Date:  1987-12

6.  Control analysis of photosynthetic CO2 fixation.

Authors:  C Giersch; D Lämmel; G Farquhar
Journal:  Photosynth Res       Date:  1990-05       Impact factor: 3.573

7.  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

8.  Metabolic control analysis applied to mitochondrial networks.

Authors:  Sonia Cortassa; Miguel A Aon; Brian O'Rourke; Raimond L Winslow
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

9.  Control and regulation of mitochondrial energetics in an integrated model of cardiomyocyte function.

Authors:  Sonia Cortassa; Brian O'Rourke; Raimond L Winslow; Miguel A Aon
Journal:  Biophys J       Date:  2009-03-18       Impact factor: 4.033

10.  Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases.

Authors:  Douglas B Kell
Journal:  BMC Med Genomics       Date:  2009-01-08       Impact factor: 3.063

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