用化学反应网络理论抛弃动力学机理假说。

C Conradi, J Saez-Rodriguez, E D Gilles, J Raisch
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引用次数: 77

摘要

Feinberg的化学反应网络理论(CRNT)将生化反应网络的结构与相应的常微分方程组的定性性质联系起来。不需要提供参数值信息。因此,它似乎很适合应用于系统生物学,其中参数不确定性占主导地位。然而,它在这一领域的应用很少。为了证明其应用的潜在好处,研究人员分析了不同的反应网络,这些反应网络代表了经过充分研究的丝裂原活化蛋白激酶(MAPK)级联的单层。Markevich等人(2004)最近的研究结果表明,出乎意料的是,多层蛋白激酶级联可以表现出多平稳性,即使在单个级联水平上也是如此。利用CRNT,我们证明了他们关于双磷酸化和去磷酸化的分配机制的假设对于单级联水平上的多平稳性至关重要。
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Using chemical reaction network theory to discard a kinetic mechanism hypothesis.

Feinberg's chemical reaction network theory (CRNT) connects the structure of a biochemical reaction network to qualitative properties of the corresponding system of ordinary differential equations. No information about parameter values is needed. As such, it seems to be well suited for application in systems biology, where parameter uncertainty is predominant. However, its application in this area is rare. To demonstrate the potential benefits from its application, different reaction networks representing a single layer of the well-studied mitogen-activated protein kinase (MAPK) cascade are analysed. Recent results from Markevich et al. (2004) show that, unexpectedly, multilayered protein kinase cascades can exhibit multistationarity, even on a single cascade level. Using CRNT, we show that their assumption of a distributive mechanism for double phosphorylation and dephosphorylation is crucial for multistationarity on the single cascade level.

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