首页> 外文期刊>Mathematical Biosciences: An International Journal >Estimation of kinetic parameters in an S-system equation model for a metabolic reaction system using the Newton-Raphson method
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Estimation of kinetic parameters in an S-system equation model for a metabolic reaction system using the Newton-Raphson method

机译:使用牛顿-拉夫森法估算代谢反应系统的S系统方程模型中的动力学参数

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摘要

Metabolic reaction systems can be modeled easily in terms of S-system type equations if their metabolic maps are available. This study therefore proposes a method for estimating parameters in decoupled S-system equations on the basis of the Newton-Raphson method and elucidates the performance of this estimation method. Parameter estimation from the time-course data of metabolite concentrations reveals that the parameters estimated are highly accurate, indicating that the estimation algorithm has been constructed correctly. The number of iterations is small and the calculation converges in a very short time (usually less than 1 s). The method is also applied to time course data with noise and found to estimate parameters efficiently. Results indicate that the present method has the potential to be extended to a method for estimating parameters in large-scale metabolic reaction systems.
机译:如果可以使用S系统类型方程式对代谢反应系统进行建模,则可以轻松对其进行建模。因此,本研究提出了一种基于牛顿-拉夫森方法的估计解耦S系统方程参数的方法,并阐明了该估计方法的性能。从代谢物浓度的时程数据进行参数估计表明,所估计的参数非常准确,表明估计算法已正确构建。迭代次数很小,计算会在很短的时间内收敛(通常少于1 s)。该方法还适用于带有噪声的时程数据,并且可以有效地估计参数。结果表明,本方法有可能扩展到用于估计大规模代谢反应系统中的参数的方法。

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