期刊
BEILSTEIN JOURNAL OF ORGANIC CHEMISTRY
卷 15, 期 -, 页码 16-29出版社
BEILSTEIN-INSTITUT
DOI: 10.3762/bjoc.15.2
关键词
computer simulation; data fitting; enzyme catalysis; induced-fit; Michaelis constant; specificity constant
资金
- Welch Foundation [F-1604]
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.
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