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Identification of flux regulation coefficients from elementary flux modes: A systems biology tool for analysis of metabolic networks

机译:从基本通量模式识别通量调节系数:用于代谢网络分析的系统生物学工具

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Within a metabolic network, the elementary flux modes enables a unique description of different operations of the network. Thus, the metabolic fluxes can be specified as convex combinations of the elementary flux modes. Here, we describe an approach to identify the set of elementary flux modes that operates in a given metabolic network through the use of measurements of macroscopic fluxes, that is, fluxes in and out of the cell. Besides enabling estimation of the metabolic fluxes, the parameters of the linear combinations of the elementary flux modes provide valuable physiological information; we call these pararmeters flux regulation coefficients (FRCs). These coefficients indicate which enzyme subsets are important at different growth the operation of the metabolic network of the yeast Saccharomyces sp. under different growth conditions.
机译:在代谢网络内,基本通量模式可对网络的不同操作进行唯一描述。因此,可以将代谢通量指定为基本通量模式的凸组合。在这里,我们描述一种方法,用于通过使用宏观通量(即流入和流出细胞的通量)的测量值来识别在给定的代谢网络中运行的基本通量模式集。除了能够估计代谢通量之外,基本通量模式的线性组合的参数还提供了有价值的生理信息。我们称这些参数为通量调节系数(FRC)。这些系数表明在酵母菌的代谢网络的不同生长中,哪些酶子集是重要的。在不同的生长条件下。

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