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将中间浓度最小化作为生化网络的一种建议最优性原则。II. 时间层次、酶促速率定律和红细胞代谢。

Minimization of intermediate concentrations as a suggested optimality principle for biochemical networks. II. Time hierarchy, enzymatic rate laws, and erythrocyte metabolism.

作者信息

Schuster S, Schuster R, Heinrich R

机构信息

Humboldt-Universität zu Berlin, Sektion Biologie, Bereich Biophysik, Federal Republic of Germany.

出版信息

J Math Biol. 1991;29(5):443-55. doi: 10.1007/BF00160471.

DOI:10.1007/BF00160471
PMID:1875162
Abstract

The multiobjective problem of minimizing all intermediate concentrations is solved for a model of glycolysis, the pentose monophosphate shunt and the glutathione system in human erythrocytes. It turns out that one solution out of four obtained corresponds qualitatively to the real system. Furthermore, it is shown that for any reaction system, the mentioned optimality principle implies distinct time hierarchy in that some reactions are infinitely fast and subsist in quasi-equilibrium. Finally, the relationships to the standard method of deriving enzymatic rate laws are discussed.

摘要

针对人类红细胞中的糖酵解、磷酸戊糖途径和谷胱甘肽系统模型,求解了使所有中间浓度最小化的多目标问题。结果表明,所得到的四个解中的一个在性质上与实际系统相符。此外,研究表明,对于任何反应系统,上述最优性原理意味着存在不同的时间层次结构,即某些反应无限快并处于准平衡状态。最后,讨论了与推导酶促速率定律的标准方法的关系。

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Minimization of intermediate concentrations as a suggested optimality principle for biochemical networks. II. Time hierarchy, enzymatic rate laws, and erythrocyte metabolism.将中间浓度最小化作为生化网络的一种建议最优性原则。II. 时间层次、酶促速率定律和红细胞代谢。
J Math Biol. 1991;29(5):443-55. doi: 10.1007/BF00160471.
2
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Biokhimiia. 1981 Mar;46(3):530-41.

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本文引用的文献

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METABOLIC CONTROL MECHANISMS. VII.A DETAILED COMPUTER MODEL OF THE GLYCOLYTIC PATHWAY IN ASCITES CELLS.代谢控制机制。VII. 腹水细胞糖酵解途径的详细计算机模型。
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The control of enzyme systems in vivo: elasticity analysis of the steady state.体内酶系统的控制:稳态的弹性分析
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On the optimality of the enzyme-substrate relationship in bacteria.细菌中酶-底物关系的最适性。
PLoS Biol. 2021 Oct 26;19(10):e3001416. doi: 10.1371/journal.pbio.3001416. eCollection 2021 Oct.
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Using optimal control to understand complex metabolic pathways.运用最优控制理解复杂代谢途径。
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The Protein Cost of Metabolic Fluxes: Prediction from Enzymatic Rate Laws and Cost Minimization.代谢通量的蛋白质成本:基于酶促速率定律和成本最小化的预测
PLoS Comput Biol. 2016 Nov 3;12(11):e1005167. doi: 10.1371/journal.pcbi.1005167. eCollection 2016 Nov.
Biochem Soc Trans. 1983 Jan;11(1):35-40. doi: 10.1042/bst0110035.
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