Literature DB >> 9715749

Development of fractal kinetic theory for enzyme-catalysed reactions and implications for the design of biochemical pathways.

M A Savageau1.   

Abstract

Recent evidence has shown that elementary bimolecular reactions under dimensionally-restricted conditions, such as those that might occur within cells when reactions are confined to two-dimensional membranes and one-dimensional channels, do not follow traditional mass-action kinetics, but fractal kinetics. The power-law formalism, which provides the context for examining the kinetics under these conditions, is used here to examine the implications of fractal kinetics in a simple pathway of reversible reactions. Starting with elementary chemical kinetics, we proceed to characterise the equilibrium behaviour of a simple bimolecular reaction, derive a generalised set of conditions for microscopic reversibility, and develop the fractal kinetic rate law for a reversible Michaelis-Menten mechanism. Having established this fractal kinetic framework, we go on to analyse the steady-state behaviour and temporal response of a pathway characterised by both the fundamental and quasi-steady-state equations. These results are contrasted with those for the fundamental and quasi-steady-state equations based on traditional mass-action kinetics. Finally, we compare the accuracy of three local representations based on both fractal and mass-action kinetics. The results with fractal kinetics show that the equilibrium ratio is a function of the amount of material in a closed system, and that the principle of microscopic reversibility has a more general manifestation that imposes new constraints on the set of fractal kinetic orders. Fractal kinetics in a biochemical pathway allow an increase in flux to occur with less accumulation of pathway intermediates and a faster temporal response than is the case with traditional kinetics. These conclusions are obtained regardless of the level of representation considered. Thus, fractal kinetics provide a novel means to achieve important features of pathway design.

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Year:  1998        PMID: 9715749     DOI: 10.1016/s0303-2647(98)00020-3

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  16 in total

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4.  Kinetic laws, phase-phase expansions, renormalization group, and INR calibration.

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5.  Validation of fractal-like kinetic models by time-resolved binding kinetics of dansylamide and carbonic anhydrase in crowded media.

Authors:  Kevin L Neff; Chetan P Offord; Ariel J Caride; Emanuel E Strehler; Franklyn G Prendergast; Zeljko Bajzer
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Review 6.  Monte Carlo simulations in drug release.

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7.  Phenotypic repertoire of the FNR regulatory network in Escherichia coli.

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Review 8.  The best models of metabolism.

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Review 9.  Recent developments in parameter estimation and structure identification of biochemical and genomic systems.

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10.  Fractal michaelis-menten kinetics under steady state conditions: Application to mibefradil.

Authors:  Rebeccah E Marsh; Jack A Tuszyński
Journal:  Pharm Res       Date:  2006-10-25       Impact factor: 4.580

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