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代谢系统对酶活性和效应物大幅变化的反应。2. 分支途径和代谢物浓度的线性处理。一般非线性情况的评估。

Responses of metabolic systems to large changes in enzyme activities and effectors. 2. The linear treatment of branched pathways and metabolite concentrations. Assessment of the general non-linear case.

作者信息

Small J R, Kacser H

机构信息

Department of Genetics, University of Edinburgh, Scotland.

出版信息

Eur J Biochem. 1993 Apr 1;213(1):625-40. doi: 10.1111/j.1432-1033.1993.tb17802.x.

DOI:10.1111/j.1432-1033.1993.tb17802.x
PMID:8477733
Abstract

We extend the analysis of unbranched chains (preceding paper) to large parameter changes in branched systems using linear kinetic assumptions. More complex relationships between flux control coefficients and deviation indices are established. In particular, the deviation index in such systems depends on more than one control coefficient as well as on the magnitude of the enzyme change. Non-additivity of the indices is the general rule. Combined changes of groups of enzymes, whether co-ordinate or not, have also been formulated. Control coefficients can be estimated from a small number of independent large-change experiments. Alternatively, the amplification factors can be calculated given the knowledge of the control coefficients. A 'case study' using published data is presented. The movement of intermediate metabolites as a consequence of large parameter changes can be dealt with in a similar manner. Experimental methods for showing the admissibility of assuming the simplifying assumptions used are summarised. Some simulation studies show possible limits of the application of the approach and some aspects of the general, non-linear, case are discussed. It is concluded that, although metabolic systems are in principle non-linear, many behave, in practice, as quasi-linear systems. The relationships established between deviation indices and control coefficients therefore provide a practical way of predicting the effects of large-scale changes in parameters for many metabolic systems.

摘要

我们使用线性动力学假设,将对无分支链的分析(前文)扩展到分支系统中的大参数变化。通量控制系数与偏差指数之间建立了更复杂的关系。特别是,此类系统中的偏差指数不仅取决于多个控制系数,还取决于酶变化的幅度。指数的非加和性是普遍规律。还阐述了酶组的联合变化,无论这些变化是否协调。控制系数可通过少量独立的大变化实验来估计。或者,在已知控制系数的情况下,可以计算放大因子。给出了一个使用已发表数据的“案例研究”。大参数变化导致的中间代谢物的移动可以用类似的方式处理。总结了用于证明所采用简化假设合理性的实验方法。一些模拟研究展示了该方法应用的可能局限性,并讨论了一般非线性情况的某些方面。得出的结论是,尽管代谢系统原则上是非线性的,但在实际中许多代谢系统表现为准线性系统。因此,偏差指数与控制系数之间建立的关系为预测许多代谢系统中参数大规模变化的影响提供了一种实用方法。

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