Literature DB >> 24245583

Validity of the Michaelis-Menten equation--steady-state or reactant stationary assumption: that is the question.

Santiago Schnell1.   

Abstract

The Michaelis-Menten equation is generally used to estimate the kinetic parameters, V and K(M), when the steady-state assumption is valid. Following a brief overview of the derivation of the Michaelis-Menten equation for the single-enzyme, single-substrate reaction, a critical review of the criteria for validity of the steady-state assumption is presented. The application of the steady-state assumption makes the implicit assumption that there is an initial transient during which the substrate concentration remains approximately constant, equal to the initial substrate concentration, while the enzyme-substrate complex concentration builds up. This implicit assumption is known as the reactant stationary assumption. This review presents evidence showing that the reactant stationary assumption is distinct from and independent of the steady-state assumption. Contrary to the widely believed notion that the Michaelis-Menten equation can always be applied under the steady-state assumption, the reactant stationary assumption is truly the necessary condition for validity of the Michaelis-Menten equation to estimate kinetic parameters. Therefore, the application of the Michaelis-Menten equation only leads to accurate estimation of kinetic parameters when it is used under experimental conditions meeting the reactant stationary assumption. The criterion for validity of the reactant stationary assumption does not require the restrictive condition of choosing a substrate concentration that is much higher than the enzyme concentration in initial rate experiments.
© 2013 FEBS.

Keywords:  Michaelis-Menten constant; enzyme kinetics; initial rate experiments; limiting rate; rapid-equilibrium assumption; reactant stationary assumption; steady-state assumption

Mesh:

Substances:

Year:  2013        PMID: 24245583     DOI: 10.1111/febs.12564

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  20 in total

Review 1.  Modeling for (physical) biologists: an introduction to the rule-based approach.

Authors:  Lily A Chylek; Leonard A Harris; James R Faeder; William S Hlavacek
Journal:  Phys Biol       Date:  2015-07-16       Impact factor: 2.583

2.  Enzymatic turnover of macromolecules generates long-lasting protein-water-coupled motions beyond reaction steady state.

Authors:  Jessica Dielmann-Gessner; Moran Grossman; Valeria Conti Nibali; Benjamin Born; Inna Solomonov; Gregg B Fields; Martina Havenith; Irit Sagi
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-25       Impact factor: 11.205

3.  Phase-plane geometries in coupled enzyme assays.

Authors:  Justin Eilertsen; Wylie Stroberg; Santiago Schnell
Journal:  Math Biosci       Date:  2018-09-24       Impact factor: 2.144

Review 4.  Tailoring Proteins to Re-Evolve Nature: A Short Review.

Authors:  Angelica Jimenez-Rosales; Miriam V Flores-Merino
Journal:  Mol Biotechnol       Date:  2018-12       Impact factor: 2.695

5.  Optimizing enzymatic catalysts for rapid turnover of substrates with low enzyme sequestration.

Authors:  Abhishek Deshpande; Thomas E Ouldridge
Journal:  Biol Cybern       Date:  2020-10-12       Impact factor: 2.086

6.  STRENDA DB: enabling the validation and sharing of enzyme kinetics data.

Authors:  Neil Swainston; Antonio Baici; Barbara M Bakker; Athel Cornish-Bowden; Paul F Fitzpatrick; Peter Halling; Thomas S Leyh; Claire O'Donovan; Frank M Raushel; Udo Reschel; Johann M Rohwer; Santiago Schnell; Dietmar Schomburg; Keith F Tipton; Ming-Daw Tsai; Hans V Westerhoff; Ulrike Wittig; Roland Wohlgemuth; Carsten Kettner
Journal:  FEBS J       Date:  2018-03-23       Impact factor: 5.542

7.  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

8.  Engineering the Enantioselectivity and Thermostability of a (+)-γ-Lactamase from Microbacterium hydrocarbonoxydans for Kinetic Resolution of Vince Lactam (2-Azabicyclo[2.2.1]hept-5-en-3-one).

Authors:  Shuaihua Gao; Shaozhou Zhu; Rong Huang; Hongxia Li; Hao Wang; Guojun Zheng
Journal:  Appl Environ Microbiol       Date:  2017-12-15       Impact factor: 4.792

9.  A generalised enzyme kinetic model for predicting the behaviour of complex biochemical systems.

Authors:  Martin Kin Lok Wong; James Robert Krycer; James Geoffrey Burchfield; David Ernest James; Zdenka Kuncic
Journal:  FEBS Open Bio       Date:  2015-03-09       Impact factor: 2.693

10.  Control of Rubisco function via homeostatic equilibration of CO2 supply.

Authors:  Abir U Igamberdiev
Journal:  Front Plant Sci       Date:  2015-02-26       Impact factor: 5.753

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.