In enzymatic reactions, the reverse reaction reduces product noise

IF 2 4区 生物学 Q2 BIOLOGY Biosystems Pub Date : 2024-09-10 DOI:10.1016/j.biosystems.2024.105334
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Abstract

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%–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.

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在酶促反应中,逆反应会降低产物噪音
酶促反应是大多数细胞反应所必需的,在生物体内无处不在。在本研究中,我们探讨了逆反应在酶促反应中的关键作用。它是一种强大的噪声缓冲机制。通过 SSA(随机模拟算法),我们观察到产物 CV(变异系数)显著降低了 32%。为了更好地了解原因,我们对上游噪音进行了拆分。来自酶的噪声降低了 35% 以上,而来自底物的噪声仅降低了 6%-21% 。这意味着系统对不同的上游噪音采用了不同的策略。我们确定了导致噪音衰减的两个主要原因。细胞可以很好地控制其胞内噪音,从大自然中获取智慧总是令人愉快的。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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