结构稳定性:代谢网络不同于其他生物网络。

P van Nes, D Bellomo, M J T Reinders, D de Ridder
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引用次数: 4

摘要

在最近的工作中,已经尝试将生化网络的结构与其复杂的动力学联系起来。结果表明,结构稳定的网络基序在这些网络中丰富。在这项工作中,我们调查了这些发现在多大程度上适用于代谢网络。为此,我们扩展了先前提出的方法,通过改变确定基序富集的零模型,通过使用直接从结构相互作用矩阵中获得的相互作用类型,通过生成反应速率的偏导数分布以及通过模拟酶对代谢网络的调节。我们的研究结果表明,以前的工作结论不能推广到代谢网络,即结构稳定的网络基序在代谢网络中并不丰富。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Stability from structure: metabolic networks are unlike other biological networks.

In recent work, attempts have been made to link the structure of biochemical networks to their complex dynamics. It was shown that structurally stable network motifs are enriched in such networks. In this work, we investigate to what extent these findings apply to metabolic networks. To this end, we extend a previously proposed method by changing the null model for determining motif enrichment, by using interaction types directly obtained from structural interaction matrices, by generating a distribution of partial derivatives of reaction rates and by simulating enzymatic regulation on metabolic networks. Our findings suggest that the conclusions drawn in previous work cannot be extended to metabolic networks, that is, structurally stable network motifs are not enriched in metabolic networks.

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