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Dynamic flux balance analysis of metabolic networks using the penalty function methods

机译:使用惩罚功能方法动态通量平衡分析代谢网络

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The ability to quantitatively describe metabolic fluxes through metabolic networks has been long desired, especially to describe the dynamic behavior of the fluxes and some important metabolites of a living cell or creature. In this paper, we applied the penalty function methods to analyze the dynamic flux distribution and predict the metabolite concentrations of the metabolic networks of E.coli by introducing a special Heaviside function. The results showed the precisely predictions of the metabolite concentrations then the exist methods.
机译:通过代谢网络定量描述代谢通量的能力长期以来,特别是描述助势的动态行为和生物的一些重要代谢物。在本文中,我们应用了惩罚功能方法来分析动态通量分布,并通过引入特殊的沉重功能来预测大肠杆菌代谢网络的代谢物浓度。结果表明,正如现有方法的精确预测。

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