Literature DB >> 6513572

Mathematical modelling of dynamics and control in metabolic networks. I. On Michaelis-Menten kinetics.

B O Palsson, E N Lightfoot.   

Abstract

As a starting point for modeling of metabolic networks this paper considers the simple Michaelis-Menten reaction mechanism. After the elimination of diffusional effects a mathematically intractable mass action kinetic model is obtained. The properties of this model are explored via scaling and linearization. The scaling is carried out such that kinetic properties, concentration parameters and external influences are clearly separated. We then try to obtain reasonable estimates for values of the dimensionless groups and examine the dynamic properties of the model over this part of the parameter space. Linear analysis is found to give excellent insight into reaction dynamics and it also gives a forum for understanding and justifying the two commonly used quasi-stationary and quasi-equilibrium analyses. The first finding is that there are two separate time scales inherent in the model existing over most of the parameter space, and in particular over the regions of importance here. Full modal analysis gives a new interpretation of quasi-stationary analysis, and its extension via singular perturbation theory, and a rationalization of the quasi-equilibrium approximation. The new interpretation of the quasi-steady state assumption is that the applicability is intimately related to dynamic interactions between the concentration variables rather than the traditional notion that a quasi-stationary state is reached, after a short transient period, where the rates of formation and decomposition of the enzyme intermediate are approximately equal. The modal analysis reveals that the generally used criterion for the applicability of quasi-stationary analysis that total enzyme concentration must be much less than total substrate concentration, et much less than St, is incomplete and that the criterion et much less than Km much less than St (Km is the well known Michaelis constant) is the appropriate one. The first inequality (et much less than Km) guarantees agreement over the longer time scale leading to quasi-stationary behavior or the applicability of the zeroth order outer singular perturbation solution but the second half of the criterion (Km much less than St) justifies zeroth order inner singular perturbation solution where the substrate concentration is assumed to be invariant. Furthermore linear analysis shows that when a fast mode representing the binding of substrate to the enzyme is fast it can be relaxed leading to the quasi-equilibrium assumption. The influence of the dimensionless groups is ascertained by integrating the equations numerically, and the predictions made by the linear analysis are found to be accurate.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1984        PMID: 6513572     DOI: 10.1016/s0022-5193(84)80211-8

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


  16 in total

1.  Quasi-steady state assumptions for non-isolated enzyme-catalysed reactions.

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Journal:  J Math Biol       Date:  2003-08-20       Impact factor: 2.259

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Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

3.  Effects of periodic input on the quasi-steady state assumptions for enzyme-catalysed reactions.

Authors:  I Stoleriu; F A Davidson; J L Liu
Journal:  J Math Biol       Date:  2004-08-20       Impact factor: 2.259

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Journal:  Biophys J       Date:  2009-09-02       Impact factor: 4.033

5.  On a theory of stability for nonlinear stochastic chemical reaction networks.

Authors:  Patrick Smadbeck; Yiannis N Kaznessis
Journal:  J Chem Phys       Date:  2015-05-14       Impact factor: 3.488

6.  Computer simulation of biological systems. Current trends.

Authors:  J R Lumb
Journal:  Mol Cell Biochem       Date:  1987-02       Impact factor: 3.396

Review 7.  Through the microcirculatory maze with machete, molecule, and minicomputer (1986 Alza lecture).

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8.  Characteristic, completion or matching timescales? An analysis of temporary boundaries in enzyme kinetics.

Authors:  Justin Eilertsen; Wylie Stroberg; Santiago Schnell
Journal:  J Theor Biol       Date:  2019-01-05       Impact factor: 2.691

9.  On the Validity of the Stochastic Quasi-Steady-State Approximation in Open Enzyme Catalyzed Reactions: Timescale Separation or Singular Perturbation?

Authors:  Justin Eilertsen; Santiago Schnell
Journal:  Bull Math Biol       Date:  2021-11-26       Impact factor: 1.758

Review 10.  Regulation by transcription factors in bacteria: beyond description.

Authors:  Enrique Balleza; Lucia N López-Bojorquez; Agustino Martínez-Antonio; Osbaldo Resendis-Antonio; Irma Lozada-Chávez; Yalbi I Balderas-Martínez; Sergio Encarnación; Julio Collado-Vides
Journal:  FEMS Microbiol Rev       Date:  2009-01       Impact factor: 16.408

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