Literature DB >> 34272689

Fundamentals of Enzyme Kinetics: Michaelis-Menten and Non-Michaelis-Type (Atypical) Enzyme Kinetics.

Eleanore Seibert1, Timothy S Tracy2.   

Abstract

This chapter will provide a general introduction to the kinetics of enzyme-catalyzed reactions, including a general discussion of catalysts, reaction rates, and binding constants. This section will be followed by a discussion of various types of enzyme kinetics observed in drug metabolism reactions. A large number of enzymatic reactions can be adequately described by Michaelis-Menten kinetics. The Michaelis-Menten equation represents a rectangular hyperbola, with a y-asymptote at the Vmax value. However, in other cases, more complex kinetic models are required to explain the observed data. Atypical kinetic profiles are believed to arise from the simultaneous binding of multiple molecules within the active site of the enzyme (Tracy and Hummel, Drug Metab Rev 36:231-242, 2004). Several cytochromes P450 (CYPs) have large active sites that enable binding of multiple molecules (Yano et al., J Biol Chem 279:38091-38094, 2004; Wester et al., J Biol Chem 279:35630-35637, 2004). Thus, atypical kinetics are not uncommon in in vitro drug metabolism studies.
© 2021. Springer Science+Business Media, LLC, part of Springer Nature.

Keywords:  Autoactivation; Binding constant; Biphasic kinetics; Catalysis; Eadie-Hofstee plot; Effector; Enzyme; Half-life; Heterotropic cooperativity; Homotropic cooperativity; Inhibitor; Lineweaver-Burk plot; Michaelis-Menten equation; Multienzyme kinetics; Nonlinear regression; Rate constant; Reaction rate; Substrate; Substrate inhibition

Year:  2021        PMID: 34272689     DOI: 10.1007/978-1-0716-1554-6_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  24 in total

Review 1.  Atypical kinetic profiles in drug metabolism reactions.

Authors:  J Matthew Hutzler; Timothy S Tracy
Journal:  Drug Metab Dispos       Date:  2002-04       Impact factor: 3.922

Review 2.  Atypical enzyme kinetics: their effect on in vitro-in vivo pharmacokinetic predictions and drug interactions.

Authors:  Timothy S Tracy
Journal:  Curr Drug Metab       Date:  2003-10       Impact factor: 3.731

3.  Measurement of Michaelis constants for cytochrome P450-mediated biotransformation reactions using a substrate depletion approach.

Authors:  R Scott Obach; Anne E Reed-Hagen
Journal:  Drug Metab Dispos       Date:  2002-07       Impact factor: 3.922

Review 4.  Modeling kinetic data from in vitro drug metabolism enzyme experiments.

Authors:  Timothy S Tracy; Matthew A Hummel
Journal:  Drug Metab Rev       Date:  2004-05       Impact factor: 4.518

5.  A theoretical validation of the substrate depletion approach to determining kinetic parameters.

Authors:  Abhinav Nath; William M Atkins
Journal:  Drug Metab Dispos       Date:  2006-06-02       Impact factor: 3.922

Review 6.  In vitro-in vivo extrapolation of hepatic clearance: biological tools, scaling factors, model assumptions and correct concentrations.

Authors:  O Pelkonen; M Turpeinen
Journal:  Xenobiotica       Date:  2007 Oct-Nov       Impact factor: 1.908

7.  Polymorphic variants of CYP2C9: mechanisms involved in reduced catalytic activity.

Authors:  Lian Wei; Charles W Locuson; Timothy S Tracy
Journal:  Mol Pharmacol       Date:  2007-08-08       Impact factor: 4.436

Review 8.  The prediction of human clearance from hepatic microsomal metabolism data.

Authors:  R S Obach
Journal:  Curr Opin Drug Discov Devel       Date:  2001-01

9.  Human cytochromes P450 mediating phenacetin O-deethylation in vitro: validation of the high affinity component as an index of CYP1A2 activity.

Authors:  K Venkatakrishnan; L L von Moltke; D J Greenblatt
Journal:  J Pharm Sci       Date:  1998-12       Impact factor: 3.534

10.  Evaluation of atypical cytochrome P450 kinetics with two-substrate models: evidence that multiple substrates can simultaneously bind to cytochrome P450 active sites.

Authors:  K R Korzekwa; N Krishnamachary; M Shou; A Ogai; R A Parise; A E Rettie; F J Gonzalez; T S Tracy
Journal:  Biochemistry       Date:  1998-03-24       Impact factor: 3.162

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