Literature DB >> 21567682

A qualitative approach to enzyme inhibition.

Grover L Waldrop1.   

Abstract

Most general biochemistry textbooks present enzyme inhibition by showing how the basic Michaelis-Menten parameters K(m) and V(max) are affected mathematically by a particular type of inhibitor. This approach, while mathematically rigorous, does not lend itself to understanding how inhibition patterns are used to determine the kinetic aspects of an enzyme. The discussion here describes a qualitative approach to teaching enzyme inhibition that allows for a physical or mechanistic understanding. This qualitative approach to enzyme inhibition starts by recognizing that the two fundamental kinetic parameters of an enzyme catalyzed reaction are V(max) and V(max) /K(m) , which correspond to the apparent rates of reaction at very high and very low concentrations of substrate, respectively. It just so happens that the reciprocals of V(max) and V(max) /K(m) correspond to the y-intercept and slope of the Lineweaver-Burk plot, respectively. Thus, an inhibitor that affects the y-intercept binds to the enzyme at very high substrate concentrations, and thus binds to the enzyme-substrate complex, while an inhibitor that affects the slope binds to the enzyme at very low substrate concentrations, and thus binds only to free enzyme. These simple precepts can be used to interpret the basic inhibition patterns, competitive, uncompetitive and noncompetitive, and more importantly, derive mechanistic information, especially in multisubstrate reactions. The application of these principles is illustrated by using an example from cancer chemotherapy, the inhibition of thymidylate synthase by 5-fluorouracil and leucovorin.
Copyright © 2009 International Union of Biochemistry and Molecular Biology, Inc.

Entities:  

Year:  2009        PMID: 21567682     DOI: 10.1002/bmb.20243

Source DB:  PubMed          Journal:  Biochem Mol Biol Educ        ISSN: 1470-8175            Impact factor:   1.160


  4 in total

1.  Characterization of a small molecule inhibitor of disulfide reductases that induces oxidative stress and lethality in lung cancer cells.

Authors:  Fraser D Johnson; John Ferrarone; Alvin Liu; Christina Brandstädter; Ravi Munuganti; Dylan A Farnsworth; Daniel Lu; Jennifer Luu; Tianna Sihota; Sophie Jansen; Amy Nagelberg; Rocky Shi; Giovanni C Forcina; Xu Zhang; Grace S W Cheng; Sandra E Spencer Miko; Georgia de Rappard-Yuswack; Poul H Sorensen; Scott J Dixon; Udayan Guha; Katja Becker; Hakim Djaballah; Romel Somwar; Harold Varmus; Gregg B Morin; William W Lockwood
Journal:  Cell Rep       Date:  2022-02-08       Impact factor: 9.423

2.  α-Glucosidase inhibition by flavonoids: an in vitro and in silico structure-activity relationship study.

Authors:  Carina Proença; Marisa Freitas; Daniela Ribeiro; Eduardo F T Oliveira; Joana L C Sousa; Sara M Tomé; Maria J Ramos; Artur M S Silva; Pedro A Fernandes; Eduarda Fernandes
Journal:  J Enzyme Inhib Med Chem       Date:  2017-12       Impact factor: 5.051

3.  Valonea Tannin: Tyrosinase Inhibition Activity, Structural Elucidation and Insights into the Inhibition Mechanism.

Authors:  Jiaman Liu; Yuqing Liu; Xiaofeng He; Bo Teng; Jacqui M McRae
Journal:  Molecules       Date:  2021-05-07       Impact factor: 4.411

4.  Wells-Dawson phosphotungstates as mushroom tyrosinase inhibitors: a speciation study.

Authors:  Raphael Lampl; Joscha Breibeck; Nadiia I Gumerova; Mathea Sophia Galanski; Annette Rompel
Journal:  Sci Rep       Date:  2021-09-29       Impact factor: 4.379

  4 in total

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