一类化学反应网络的D-QSSA模型约简方法的常延迟最优设置

Pub Date : 2022-10-05 DOI:10.21136/AM.2022.0136-21
Ctirad Matonoha, Štěpán Papáček, Volodymyr Lynnyk
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引用次数: 0

摘要

我们开发并测试了一种相对简单的经典模型简化方法,应用于一类具有质量守恒性质的化学网络。这两种方法,即(i)标准准稳态近似方法,以及(ii)由Vejchodský(2014)首次提出的新型所谓延迟准稳态近似方法,都被广泛介绍。讨论了延迟设置的理论和数值问题。也就是说,对于酶-底物反应网络的一个稍微修改的变体(Michaelis-Menten动力学),提出了完整的非还原系统行为与相应的还原模型变体的比较,并讨论了结果。最后,对延迟拟稳态逼近方法的进一步应用进行了展望。
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On an optimal setting of constant delays for the D-QSSA model reduction method applied to a class of chemical reaction networks

We develop and test a relatively simple enhancement of the classical model reduction method applied to a class of chemical networks with mass conservation properties. Both the methods, being (i) the standard quasi-steady-state approximation method, and (ii) the novel so-called delayed quasi-steady-state approximation method, firstly proposed by Vejchodský (2014), are extensively presented. Both theoretical and numerical issues related to the setting of delays are discussed. Namely, for one slightly modified variant of an enzyme-substrate reaction network (Michaelis-Menten kinetics), the comparison of the full non-reduced system behavior with respective variants of reduced model is presented and the results discussed. Finally, some future prospects related to further applications of the delayed quasi-steady-state approximation method are proposed.

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