动态系统通量和浓度控制系数的求和定理。

R Conradie, H V Westerhoff, J M Rohwer, J H S Hofmeyr, J L Snoep
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引用次数: 14

摘要

代谢控制分析(MCA)的发展是为了量化系统变量如何受到系统参数变化的影响。此外,MCA可以用单个催化步骤表示系统的全局性质,使用连通性和求和定理将控制系数与弹性系数联系起来。MCA最初是为稳态分析而开发的,并不是所有的求和定理都是为动态系统导出的。本文报道了一种确定动态系统随时间变化的通量和浓度控制系数的方法,该方法将时域表示为任意固定时间间隔内百分比级数的函数。动态系统的随时间变化的通量和浓度控制系数,只要用这种新方法求值,分别遵循与稳态通量和浓度控制系数相同的求和定理。
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Summation theorems for flux and concentration control coefficients of dynamic systems.

Metabolic control analysis (MCA) was developed to quantify how system variables are affected by parameter variations in a system. In addition, MCA can express the global properties of a system in terms of the individual catalytic steps, using connectivity and summation theorems to link the control coefficients to the elasticity coefficients. MCA was originally developed for steady-state analysis and not all summation theorems have been derived for dynamic systems. A method to determine time-dependent flux and concentration control coefficients for dynamic systems by expressing the time domain as a function of percentage progression through any arbitrary fixed interval of time is reported. Time-dependent flux and concentration control coefficients of dynamic systems, provided that they are evaluated in this novel way, obey the same summation theorems as steady-state flux and concentration control coefficients, respectively.

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