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首页> 外文期刊>Journal of Theoretical Biology >Enzyme allocation problems in kinetic metabolic networks: Optimal solutions are elementary flux modes
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Enzyme allocation problems in kinetic metabolic networks: Optimal solutions are elementary flux modes

机译:动力学代谢网络中的酶分配问题:最佳解决方案是基本通量模式

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The survival and proliferation of cells and organisms require a highly coordinated allocation of cellular resources to ensure the efficient synthesis of cellular components. In particular, the total enzymatic capacity for cellular metabolism is limited by finite resources that are shared between all enzymes, such as cytosolic space, energy expenditure for amino-acid synthesis, or micro-nutrients. While extensive work has been done to study constrained optimization problems based only on stoichiometric information, mathematical results that characterize the optimal flux in kinetic metabolic networks are still scarce. Here, we study constrained enzyme allocation problems with general kinetics, using the theory of oriented matroids. We give a rigorous proof for the fact that optimal solutions of the non-linear optimization problem are elementary flux modes. This finding has significant consequences for our understanding of optimality in metabolic networks as well as for the identification of metabolic switches and the computation of optimal flux distributions in kinetic metabolic networks. (C) 2013 Elsevier Ltd. All rights reserved.
机译:细胞和生物的生存和增殖需要细胞资源的高度协调分配,以确保细胞成分的有效合成。特别是,细胞代谢的总酶促能力受到所有酶之间共享的有限资源的限制,例如胞质空间,氨基酸合成的能量消耗或微量营养素。尽管仅基于化学计量信息已经进行了大量工作来研究约束优化问题,但仍缺乏表征动力学代谢网络中最佳通量的数学结果。在这里,我们使用定向拟阵理论研究具有一般动力学的约束酶分配问题。我们对非线性优化问题的最优解是基本通量模式这一事实给出了严格的证明。这一发现对我们对代谢网络中最优性的理解以及对代谢转换的识别和动力学代谢网络中最佳通量分布的计算都具有重要意义。 (C)2013 Elsevier Ltd.保留所有权利。

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