Literature DB >> 8477733

Responses of metabolic systems to large changes in enzyme activities and effectors. 2. The linear treatment of branched pathways and metabolite concentrations. Assessment of the general non-linear case.

J R Small1, H Kacser.   

Abstract

We extend the analysis of unbranched chains (preceding paper) to large parameter changes in branched systems using linear kinetic assumptions. More complex relationships between flux control coefficients and deviation indices are established. In particular, the deviation index in such systems depends on more than one control coefficient as well as on the magnitude of the enzyme change. Non-additivity of the indices is the general rule. Combined changes of groups of enzymes, whether co-ordinate or not, have also been formulated. Control coefficients can be estimated from a small number of independent large-change experiments. Alternatively, the amplification factors can be calculated given the knowledge of the control coefficients. A 'case study' using published data is presented. The movement of intermediate metabolites as a consequence of large parameter changes can be dealt with in a similar manner. Experimental methods for showing the admissibility of assuming the simplifying assumptions used are summarised. Some simulation studies show possible limits of the application of the approach and some aspects of the general, non-linear, case are discussed. It is concluded that, although metabolic systems are in principle non-linear, many behave, in practice, as quasi-linear systems. The relationships established between deviation indices and control coefficients therefore provide a practical way of predicting the effects of large-scale changes in parameters for many metabolic systems.

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Year:  1993        PMID: 8477733     DOI: 10.1111/j.1432-1033.1993.tb17802.x

Source DB:  PubMed          Journal:  Eur J Biochem        ISSN: 0014-2956


  20 in total

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

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Journal:  Biochem J       Date:  2002-10-01       Impact factor: 3.857

3.  Evolution of dominance in metabolic pathways.

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

Authors:  Herbert M Sauro
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6.  How aneuploidy affects metabolic control and causes cancer.

Authors:  D Rasnick; P H Duesberg
Journal:  Biochem J       Date:  1999-06-15       Impact factor: 3.857

Review 7.  Physiological control of metabolic flux: the requirement for multisite modulation.

Authors:  D A Fell; S Thomas
Journal:  Biochem J       Date:  1995-10-01       Impact factor: 3.857

8.  Flux control coefficients determined by inhibitor titration: the design and analysis of experiments to minimize errors.

Authors:  J R Small
Journal:  Biochem J       Date:  1993-12-01       Impact factor: 3.857

9.  Paradoxical control properties of enzymes within pathways: can activation cause an enzyme to have increased control?

Authors:  B N Kholodenko; G C Brown
Journal:  Biochem J       Date:  1996-03-15       Impact factor: 3.857

10.  Tradeoff between enzyme and metabolite efficiency maintains metabolic homeostasis upon perturbations in enzyme capacity.

Authors:  Sarah-Maria Fendt; Joerg Martin Buescher; Florian Rudroff; Paola Picotti; Nicola Zamboni; Uwe Sauer
Journal:  Mol Syst Biol       Date:  2010-04-13       Impact factor: 11.429

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