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PMID: 30680035 Published · epublish English Journal Article Review

New standards for collecting and fitting steady state kinetic data.

Beilstein journal of organic chemistry ·Vol. 15 ·2019-00-00 ·页码 16-29

Johnson KA

Abstract

The Michaelis-Menten equation is usually expressed in terms of k cat and K m values: v = k cat[S]/(K m + [S]). However, it is impossible to interpret K m in the absence of additional information, while the ratio of k cat/K m provides a measure of enzyme specificity and is proportional to enzyme efficiency and proficiency. Moreover, k cat/K m provides a lower limit on the second order rate constant for substrate binding. For these reasons it is better to redefine the Michaelis-Menten equation in terms of k cat and k cat/K m values: v = k SP[S]/(1 + k SP[S]/k cat), where the specificity constant, k SP = k cat/K m. In this short review, the rationale for this assertion is explained and it is shown that more accurate measurements of k cat/K m can be derived directly using the modified form of the Michaelis-Menten equation rather than calculated from the ratio of k cat and K m values measured separately. Even greater accuracy is achieved with fitting the raw data directly by numerical integration of the rate equations rather than using analytically derived equations. The importance of fitting to derive k cat and k cat/K m is illustrated by considering the role of conformational changes in enzyme specificity where k cat and k cat/K m can reflect different steps in the pathway. This highlights the pitfalls in attempting to interpret K m, which is best understood as the ratio of k cat divided by k cat/K m.

Keywords
Michaelis constant computer simulation data fitting enzyme catalysis induced-fit specificity constant
作者与单位
共 1 位作者,点击展开单位 / ORCID
Johnson Kenneth A ORCID
Department of Molecular Biosciences, The University of Texas, Austin, TX 78735, USA.
Article Info
Journal
Beilstein journal of organic chemistry
Abbr.
Beilstein J Org Chem
ISSN
1860-5397
Published
2019-00-00
电子出版
2019-00-02
页码
16-29
Language
English
Country/Region
Germany
NLM ID
101250746
基金资助
NIGMS NIH HHS · R01 GM044613 · United States
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