> In living cells, we can observe a variety of complex network systems such as metabolic network. Studyi'/> Monomolecular reaction networks: Flux‐influenced sets and balloons
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Monomolecular reaction networks: Flux‐influenced sets and balloons

机译:单分子反应网络:磁通量影响的套装和气球

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> In living cells, we can observe a variety of complex network systems such as metabolic network. Studying their sensitivity is one of the main approaches for understanding the dynamics of these biological systems. The study of the sensitivity is done by increasing/decreasing, or knocking out separately, each enzyme mediating a reaction in the system and then observing the responses in the concentrations of chemicals or their fluxes. However, because of the complexity of the systems, it has been unclear how the network structures influence/determine the responses of the systems. In this study, we focus on monomolecular networks at steady state and establish a simple criterion for determining regions of influence when any one of the reaction rates is perturbed through sensitivity experiments of enzyme knock‐out type. Specifically, we study the network response to perturbations of a reaction rate j ? and describe which other reaction rates j respond by non‐zero reaction flux, at steady state. Non‐zero responses of j to j
机译: >在活细胞中,我们可以观察各种复杂网络系统,如代谢网络。研究他们的敏感性是了解这些生物系统动态的主要方法之一。通过增加/减少或单独敲除来敏感性的研究是通过介导在系统中反应的每种酶然后观察化学品浓度或其通量的反应来完成。然而,由于系统的复杂性,目前尚不清楚网络结构如何影响/确定系统的响应。在这项研究中,我们专注于稳态的单分子网络,并建立一个简单的标准,用于确定任何一种反应速率通过酶敲除式的敏感性实验扰乱的影响区域。具体而言,我们研究了对反应速率的扰动的网络响应 j α并描述了哪些其他反应速率 J ' 在稳态下非零反应通量响应。 J ' J

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