<b>Introducing Quantitative Assessment of Michaelis Constant (</b><b><i>K</i></b><sub><strong>M</strong></sub><b>) Accuracy</b>

<p dir="ltr">The Michaelis constant (<i>K</i><sub>m</sub>) is a key parameter characterizing enzymatic reactions; however, determining <i>K</i><sub>m</sub> is prone to significant inaccuracies, and no practical method currently exists t...

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Main Author: TONG YE WANG (12959627) (author)
Other Authors: Parmeetpal Dhillon (19557283) (author), Svetlana Krylova (6644106) (author), Sebastian Schreiber (18523618) (author), Dasantila Golemi-Kotra (19557287) (author), Prof. Joachim Jose (19354272) (author), Sergey Krylov (9416975) (author)
Published: 2025
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_version_ 1852018188876775424
author TONG YE WANG (12959627)
author2 Parmeetpal Dhillon (19557283)
Svetlana Krylova (6644106)
Sebastian Schreiber (18523618)
Dasantila Golemi-Kotra (19557287)
Prof. Joachim Jose (19354272)
Sergey Krylov (9416975)
author2_role author
author
author
author
author
author
author_facet TONG YE WANG (12959627)
Parmeetpal Dhillon (19557283)
Svetlana Krylova (6644106)
Sebastian Schreiber (18523618)
Dasantila Golemi-Kotra (19557287)
Prof. Joachim Jose (19354272)
Sergey Krylov (9416975)
author_role author
dc.creator.none.fl_str_mv TONG YE WANG (12959627)
Parmeetpal Dhillon (19557283)
Svetlana Krylova (6644106)
Sebastian Schreiber (18523618)
Dasantila Golemi-Kotra (19557287)
Prof. Joachim Jose (19354272)
Sergey Krylov (9416975)
dc.date.none.fl_str_mv 2025-07-25T22:25:14Z
dc.identifier.none.fl_str_mv 10.6084/m9.figshare.26961733.v2
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/_b_Introducing_Quantitative_Assessment_of_Michaelis_Constant_b_b_i_K_i_b_sub_strong_M_strong_sub_b_Accuracy_b_/26961733
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Catalysis and mechanisms of reactions
Reaction kinetics and dynamics
michaelismenten
Accuracy of equilibrium constants
Accuracy confidence interval (ACI) of parameters computed through nonlinear regression
Precision Confidence Interval
Regression stability
error propagation algorithm
enzymatic reaction path
dc.title.none.fl_str_mv <b>Introducing Quantitative Assessment of Michaelis Constant (</b><b><i>K</i></b><sub><strong>M</strong></sub><b>) Accuracy</b>
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p dir="ltr">The Michaelis constant (<i>K</i><sub>m</sub>) is a key parameter characterizing enzymatic reactions; however, determining <i>K</i><sub>m</sub> is prone to significant inaccuracies, and no practical method currently exists to assess the accuracy of <i>K</i><sub>m</sub> quantitatively. Here, we introduce a method for quantitatively assessing <i>K</i><sub>m</sub> accuracy using the concept of the Accuracy Confidence Interval (ACI). The ACI defines a range within which the true value of a parameter determined by nonlinear regression lies and is calculated through a combination of error-propagation and regression-stability analyses for a given regression model. We recently developed a workflow to find the ACI of the equilibrium dissociation constant (<i>K</i><sub>d</sub>) of affinity complexes, utilizing a standard nonlinear regression model for fitting binding isotherms of complexes with 1:1 stoichiometry. In this work, we demonstrate for the first time, that this "binding-isotherm" model can also be applied to the determination of <i>K</i><sub>m</sub>, suggesting that the ACI of <i>K</i><sub>m</sub> can be computed with the same workflow upon simply renaming the terms. Our findings advocate for the use of the binding-isotherm model in <i>K</i><sub>m</sub> determination since this model works for the whole range of total enzyme concentration and it enables a quantitative assessment of the accuracy. As the ACI of <i>K</i><sub>m</sub> can be easily computed with a user-friendly web app (<a href="https://aci.sci.yorku.ca" target="_blank">https://aci.sci.yorku.ca</a>), we anticipate quick and widespread adoption of <i>K</i><sub>m</sub> accuracy assessment by the research community.</p>
eu_rights_str_mv openAccess
id Manara_de22927f12f5deaa61d78fa9dbf2be95
identifier_str_mv 10.6084/m9.figshare.26961733.v2
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/26961733
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling <b>Introducing Quantitative Assessment of Michaelis Constant (</b><b><i>K</i></b><sub><strong>M</strong></sub><b>) Accuracy</b>TONG YE WANG (12959627)Parmeetpal Dhillon (19557283)Svetlana Krylova (6644106)Sebastian Schreiber (18523618)Dasantila Golemi-Kotra (19557287)Prof. Joachim Jose (19354272)Sergey Krylov (9416975)Catalysis and mechanisms of reactionsReaction kinetics and dynamicsmichaelismentenAccuracy of equilibrium constantsAccuracy confidence interval (ACI) of parameters computed through nonlinear regressionPrecision Confidence IntervalRegression stabilityerror propagation algorithmenzymatic reaction path<p dir="ltr">The Michaelis constant (<i>K</i><sub>m</sub>) is a key parameter characterizing enzymatic reactions; however, determining <i>K</i><sub>m</sub> is prone to significant inaccuracies, and no practical method currently exists to assess the accuracy of <i>K</i><sub>m</sub> quantitatively. Here, we introduce a method for quantitatively assessing <i>K</i><sub>m</sub> accuracy using the concept of the Accuracy Confidence Interval (ACI). The ACI defines a range within which the true value of a parameter determined by nonlinear regression lies and is calculated through a combination of error-propagation and regression-stability analyses for a given regression model. We recently developed a workflow to find the ACI of the equilibrium dissociation constant (<i>K</i><sub>d</sub>) of affinity complexes, utilizing a standard nonlinear regression model for fitting binding isotherms of complexes with 1:1 stoichiometry. In this work, we demonstrate for the first time, that this "binding-isotherm" model can also be applied to the determination of <i>K</i><sub>m</sub>, suggesting that the ACI of <i>K</i><sub>m</sub> can be computed with the same workflow upon simply renaming the terms. Our findings advocate for the use of the binding-isotherm model in <i>K</i><sub>m</sub> determination since this model works for the whole range of total enzyme concentration and it enables a quantitative assessment of the accuracy. As the ACI of <i>K</i><sub>m</sub> can be easily computed with a user-friendly web app (<a href="https://aci.sci.yorku.ca" target="_blank">https://aci.sci.yorku.ca</a>), we anticipate quick and widespread adoption of <i>K</i><sub>m</sub> accuracy assessment by the research community.</p>2025-07-25T22:25:14ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.6084/m9.figshare.26961733.v2https://figshare.com/articles/figure/_b_Introducing_Quantitative_Assessment_of_Michaelis_Constant_b_b_i_K_i_b_sub_strong_M_strong_sub_b_Accuracy_b_/26961733CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/269617332025-07-25T22:25:14Z
spellingShingle <b>Introducing Quantitative Assessment of Michaelis Constant (</b><b><i>K</i></b><sub><strong>M</strong></sub><b>) Accuracy</b>
TONG YE WANG (12959627)
Catalysis and mechanisms of reactions
Reaction kinetics and dynamics
michaelismenten
Accuracy of equilibrium constants
Accuracy confidence interval (ACI) of parameters computed through nonlinear regression
Precision Confidence Interval
Regression stability
error propagation algorithm
enzymatic reaction path
status_str publishedVersion
title <b>Introducing Quantitative Assessment of Michaelis Constant (</b><b><i>K</i></b><sub><strong>M</strong></sub><b>) Accuracy</b>
title_full <b>Introducing Quantitative Assessment of Michaelis Constant (</b><b><i>K</i></b><sub><strong>M</strong></sub><b>) Accuracy</b>
title_fullStr <b>Introducing Quantitative Assessment of Michaelis Constant (</b><b><i>K</i></b><sub><strong>M</strong></sub><b>) Accuracy</b>
title_full_unstemmed <b>Introducing Quantitative Assessment of Michaelis Constant (</b><b><i>K</i></b><sub><strong>M</strong></sub><b>) Accuracy</b>
title_short <b>Introducing Quantitative Assessment of Michaelis Constant (</b><b><i>K</i></b><sub><strong>M</strong></sub><b>) Accuracy</b>
title_sort <b>Introducing Quantitative Assessment of Michaelis Constant (</b><b><i>K</i></b><sub><strong>M</strong></sub><b>) Accuracy</b>
topic Catalysis and mechanisms of reactions
Reaction kinetics and dynamics
michaelismenten
Accuracy of equilibrium constants
Accuracy confidence interval (ACI) of parameters computed through nonlinear regression
Precision Confidence Interval
Regression stability
error propagation algorithm
enzymatic reaction path