Simulating labeling to estimate kinetic parameters for flux control analysis.
Simulating labeling to estimate kinetic parameters for flux control analysis.
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模拟标记以估计通量控制分析的动力学参数。
DOI：
10.1007/978-1-62703-688-7_13
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Morgan,JohnA
中科院分区：
文献类型：
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作者：
Marshall-Colon,Amy;Sengupta,Neelanjan;Rhodes,David;Morgan,JohnA
动力学建模的一个重要方面是能够提供基于先天酶动力学的网络控制和对遗传或环境扰动的动态响应的预测信息。在自上而下的模型组装方法中，使用实验数据计算未知的动力学参数，例如代谢物池浓度和提供同位素标记的底物后的瞬时标记模式。这些动力学参数可以用来计算网络中每个反应的通量控制系数，这有助于识别对整个网络施加最大控制的酶促反应。本章描述了一种建模方法来估计动力学参数，然后用于进行代谢控制分析。以矮牵牛（petunia hybrida）的苯类网络为例；然而，这些方法可以应用于新陈代谢的任何一小部分。
An important aspect of kinetic modeling is the ability to provide predictive information on network control and dynamic responses to genetic or environmental perturbations based on innate enzyme kinetics. In a top-down approach to model assembly, unknown kinetic parameters are calculated using experimental data such as metabolite pool concentrations and transient labeling patterns after supply of an isotopically labeled substrate. These kinetic parameters can then be used to calculate flux control coefficients for every reaction in a network, which aids in the identification of enzymatic reactions that exert the most control over the network as a whole. This chapter describes a modeling approach to estimate kinetic parameters which are then used to perform metabolic control analysis. An example is provided for the benzenoid network ofPetunia hybrida; however, the methodologies can be applied to any small segment of metabolism.