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Non-stationary Metabolic Control Analysis of E. coli Central Metabolism by a Mathematical Model Simulation

机译:大肠杆菌中央代谢的非平稳代谢控制数学模型仿真

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Abstract A non-stationary metabolic control analysis (MCA) of E. coli central metabolism upon a response to a glucose impulse with an aim to discern the enzyme level regulation is applied. Results are obtained by a mathematical model simulation of the kinetic model derived from experimental data with a glucose impulse introduced after a 30-minute period of deprivation. The model includes 10 coupled metabolite balances, 24 highly nonlinear enzyme kinetic rate expressions and 132 kinetic parameters. Determined are the time courses of the flux control coefficients of the four fluxes (phosphotransferase system (PTS), nucleotide synthesis (NS), pyruvate and phosphoenolpyruvate to biomass) during the period of the first 15 seconds upon introduction of the impulse. Two methods, local and global, sensitivities of analysis are applied and compared. The local flux control coefficients are calculated by the finite difference formula for approximation of local derivatives applied one-by-one for each of the 24 enzyme levels (activities). The flux control coefficients based on global sensitivities are evaluated on the basis of partial variances corresponding to each enzyme under simultaneous variations of the all enzymes. Assumed are uniform probabilities of variations of the enzyme activities in the ranges (1 to 2) and (1 to 4) fold. The variances are calculated by the Fourier amplitude sensitivity test (FAST) numerical procedure. The two methods yielded similar overall features of the metabolic control, however identification of the key enzymes for particular fluxes are different. The results are an effort to broaden the scope of rational methodologies in application of genetic engineering.
机译:摘要运用一种对葡萄糖冲激反应的大肠杆菌中央代谢的非平稳代谢控制分析(MCA),旨在识别酶水平的调节。通过对动力学模型的数学模型仿真获得结果,该动力学模型源自实验数据,在剥夺30分钟后引入葡萄糖脉冲。该模型包括10个耦合的代谢物天平,24个高度非线性的酶动力学速率表达式和132个动力学参数。确定了在引入脉冲后的最初15秒钟内四种通量(磷酸转移酶系统(PTS),核苷酸合成(NS),丙酮酸和磷酸烯醇丙酮酸转化为生物质)的通量控制系数的时程。应用和比较了分析的敏感性(局部和全局)两种方法。通过有限差分公式计算局部通量控制系数,以近似地针对24种酶水平(活性)中的每一种应用局部衍生物。在所有酶的同时变化下,基于与每种酶相对应的部分方差来评估基于全局灵敏度的通量控制系数。假定酶活性在(1至2)倍和(1至4)倍范围内变化的均匀概率。通过傅立叶振幅灵敏度测试(FAST)数值程序计算方差。两种方法产生的代谢控制总体特征相似,但是针对特定通量的关键酶的鉴定是不同的。结果是努力拓宽基因工程应用中的合理方法的范围。

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