Conradie R, Westerhoff H V, Rohwer J M, Hofmeyr J H S, Snoep J L
Department of Biochemistry, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa.
Syst Biol (Stevenage). 2006 Sep;153(5):314-7. doi: 10.1049/ip-syb:20060024.
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.
代谢控制分析(MCA)旨在量化系统变量如何受到系统中参数变化的影响。此外,MCA可以根据各个催化步骤来表达系统的全局特性,利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,并非所有求和定理都已针对动态系统推导出来。本文报道了一种通过将时域表示为经过任意固定时间间隔的百分比进展的函数来确定动态系统中随时间变化的通量和浓度控制系数的方法。动态系统中随时间变化的通量和浓度控制系数,只要以这种新颖的方式进行评估,就分别遵循与稳态通量和浓度控制系数相同的求和定理。