In Enzymatic Reactions, the Reverse Reaction Reduces Product Noise.

Enzyme Mathematic Model Extrinsic and Intrinsic Noise Attenuation

Journal

Bio Systems
ISSN: 1872-8324
Titre abrégé: Biosystems
Pays: Ireland
ID NLM: 0430773

Informations de publication

Date de publication:
10 Sep 2024
Historique:
received: 11 04 2024
revised: 01 08 2024
accepted: 09 09 2024
medline: 13 9 2024
pubmed: 13 9 2024
entrez: 12 9 2024
Statut: aheadofprint

Résumé

Enzymatic reactions are essential for most cellular reactions and ubiquitous in living organisms. In the present study, we explore the pivotal role of the reverse reaction in enzymatic reactions. It is a powerful noise-buffering motif. By SSA (stochastic simulation algorithm), a remarkable 32% reduction of product CV (coefficient of variation) was observed. To better understand the causes, we split the upstream noise. The product CV reduction is more than 35% for the noise inherited from the enzyme but merely 6% to 21% for that from the substrate. It implies that the system applies different strategies to different upstream noises. We identified two leading causes responsible for noise attenuation. A cell is well designed to control its intracellular noise, and to acquire wisdom from nature is always enjoyable.

Identifiants

pubmed: 39265923
pii: S0303-2647(24)00219-3
doi: 10.1016/j.biosystems.2024.105334
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105334

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest ☐ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☒ The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Che-Chi Shu reports financial support was provided by National Science and Technology Council. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ching-Chu Hsieh (CC)

Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei City.

Yung-Chun Lin (YC)

Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei City.

Wei-Bo Lin (WB)

Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei City.

Che-Chi Shu (CC)

Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei City. Electronic address: cshu@ntut.edu.tw.

Classifications MeSH