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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Bulletin of the Kore...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Bulletin of the Korean Chemical Society
Article . 2022 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Non‐steady‐state enzyme reaction dynamics

Authors: Kyungwoo Kim; Sanggeun Song; Jaeyoung Sung;

Non‐steady‐state enzyme reaction dynamics

Abstract

AbstractMichaelis–Menten (MM) enzyme kinetics is and has been widely used since early 20th century. However, the conventional enzyme kinetics is not accurate when the substrate is not in excess or when the steady‐state approximation does not hold. The steady‐state approximation worsens as the enzyme concentration exceeds its substrate concentration, which is the case in many biological processes. Here, to overcome this issue, we present a novel, quasi‐exact solution of the enzyme kinetic equations, which provides the time profiles of the substrate, enzyme‐substrate complex, and product concentrations. Our theory provides more accurate results than the previously reported theories for all parameter spaces investigated and yields a new relationship of the enzyme reaction time or the enzyme reaction rate to the substrate and enzyme concentrations. We demonstrate our results for the catalytic reaction of β‐galactosidase.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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