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Saddle-node bifurcations in biochemical reaction networks with mass action kinetics and application to a double-phosphorylation mechanism

机译:生化反应网络中具有质量作用动力学的鞍节点分叉及其在双磷酸化机理中的应用

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In Systems Biology quantitative models in form of parameter-dependent Ordinary Differential Equations are encountered frequently, when the dynamical behaviour of a biochemical reaction network is described. The question whether or not a given network topology is able to exhibit bistability or some other form of multistationarity is of particular interest. We show that for certain network structures it is possible to determine analytically `critical states'' and `critical parameters'' where the necessary conditions for a saddle-node bifurcation of codimension 1 are satisfied. Moreover, we derive sufficient conditions for these saddle-node bifurcations to occur. For the network related to the double-phosphorylation of an enzyme, we give a parametrization of all critical states and parameters and show that bistability is possible.
机译:在系统生物学中,当描述生化反应网络的动力学行为时,经常会遇到以参数相关的常微分方程形式出现的定量模型。给定的网络拓扑是否能够表现出双稳态或某种其他形式的多平稳性的问题尤其令人关注。我们表明,对于某些网络结构,有可能确定解析的“临界状态”和“临界参数”,其中满足维数为1的鞍节点分叉的必要条件。此外,我们推导了发生这些鞍形节点分叉的充分条件。对于与酶的双磷酸化有关的网络,我们给出所有关键状态和参数的参数化,并表明双稳性是可能的。

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