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Model reduction of detailed-balanced reaction networks by clustering linkage classes

机译:通过聚类联系类进行详细平衡反应网络的模型减少

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We propose a model reduction method that involves sequential application of clustering of linkage classes and Kron reduction. This approach is specifically useful for chemical reaction networks with each linkage class having less number of reactions. In case of detailed balanced chemical reaction networks that are governed by general enzyme kinetics, we show that our procedure ensures that the space of equilibria corresponding to the original model is a subspace of the space of equilibria of the reduced model.
机译:我们提出了一种模型还原方法,涉及连续地应用链接类和骑士减少的聚类。该方法特别适用于化学反应网络,其中每个连杆阶级具有较少数量的反应。如果是由一般酶动力学治理的详细平衡化学反应网络,我们表明我们的程序确保对应于原始模型的均衡空间是减少模型的均衡空间的子空间。

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