首页> 外文会议>NATO Advanced Research Workshop on Technological and Medical Implications of Metabolic Control Analysis Visegrad, Hungary 10-16 April 1999 >Regulation and Redirection of Metabolism: Incorporating regulatory information in flux calculation
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Regulation and Redirection of Metabolism: Incorporating regulatory information in flux calculation

机译:代谢的调节和重定向:将调节信息纳入通量计算

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It is well appreciated that cellular metabolism involves interrelated pathway stoicheiometry and complicated regulation loops. Such a complex system imparts a veriety of metabolic characteristics to the living cell. Consequently, to alter metabolism for the production of metabolites, it is essential to gain as much information as possible about pathway stoicheiometry and regulatory kinetics. If the complete details of stoicheiometry and kinetics are known, they can be combined into a mathematical model to predict the behaviour of the cell. Short of complete understanding of regulatory mechanisms, several approaches have been developed to aid the redesign of metabolic pathways. These include pathway analysis (Schuster & Schuster, 1993; Liao et al., 1996; Schuster et al., 1999), flux analysis (Vallino & Stephanopoulos, 1993, Varma et al., 1993), and metabolic control analysis (Kacser & Burns, 1973; Heinrich & Rapoport, 1974). However, none of these approaches are completely satisfactory, primarily because of the complexity of regulatory mechanisms. Hence, successful prediction of flux distribution must take the regulatory mechanisms properly into account. This chapter discusses a promising formalism that aims to predict metabolic flux distribution by incorporating regulatory information in terms of the flux control coefficients into the flux analysis. This approach is most useful for predicting the effect of genetically engineered pathways on flux distribution.
机译:众所周知,细胞代谢涉及相互关联的途径化学计量学和复杂的调节回路。这种复杂的系统赋予了活细胞许多新陈代谢特征。因此,为了改变代谢产物的代谢,必须获得尽可能多的有关通路化学计量学和调节动力学的信息。如果知道化学计量学和动力学的完整细节,则可以将它们组合成数学模型来预测细胞的行为。缺乏对调节机制的完全理解,已经开发了几种方法来帮助重新设计代谢途径。这些包括途径分析(Schuster&Schuster,1993; Liao等,1996; Schuster等,1999),通量分析(Vallino&Stephanopoulos,1993,Varma等,1993)和代谢控制分析(Kacser&伯恩斯(1973);海因里希(Heinrich&Rapoport),1974)。但是,主要由于监管机制的复杂性,这些方法都不是完全令人满意的。因此,成功预测通量分布必须适当考虑调节机制。本章讨论了一种有前途的形式主义,旨在通过将通量控制系数方面的监管信息纳入通量分析中来预测代谢通量分布。该方法对于预测基因工程途径对通量分布的影响最为有用。

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