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New standards for collecting and fitting steady state kinetic data
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 enzy...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Beilstein-Institut
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334795/ https://www.ncbi.nlm.nih.gov/pubmed/30680035 http://dx.doi.org/10.3762/bjoc.15.2 |
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author | Johnson, Kenneth A |
author_facet | Johnson, Kenneth A |
author_sort | Johnson, Kenneth A |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-6334795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Beilstein-Institut |
record_format | MEDLINE/PubMed |
spelling | pubmed-63347952019-01-24 New standards for collecting and fitting steady state kinetic data Johnson, Kenneth A Beilstein J Org Chem Review 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). Beilstein-Institut 2019-01-02 /pmc/articles/PMC6334795/ /pubmed/30680035 http://dx.doi.org/10.3762/bjoc.15.2 Text en Copyright © 2019, Johnson https://creativecommons.org/licenses/by/4.0https://www.beilstein-journals.org/bjoc/termsThis is an Open Access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0). Please note that the reuse, redistribution and reproduction in particular requires that the authors and source are credited. The license is subject to the Beilstein Journal of Organic Chemistry terms and conditions: (https://www.beilstein-journals.org/bjoc/terms) |
spellingShingle | Review Johnson, Kenneth A New standards for collecting and fitting steady state kinetic data |
title | New standards for collecting and fitting steady state kinetic data |
title_full | New standards for collecting and fitting steady state kinetic data |
title_fullStr | New standards for collecting and fitting steady state kinetic data |
title_full_unstemmed | New standards for collecting and fitting steady state kinetic data |
title_short | New standards for collecting and fitting steady state kinetic data |
title_sort | new standards for collecting and fitting steady state kinetic data |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334795/ https://www.ncbi.nlm.nih.gov/pubmed/30680035 http://dx.doi.org/10.3762/bjoc.15.2 |
work_keys_str_mv | AT johnsonkennetha newstandardsforcollectingandfittingsteadystatekineticdata |