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Cascading failure and robustness in metabolic networks

机译:代谢网络的级联故障和鲁棒性

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摘要

We investigate the relationship between structure and robustness in the metabolic networks of Escherichia coli, Methanosarcina barkeri, Staphylococcus aureus, and Saccharomyces cerevisiae, using a cascading failure model based on a topological flux balance criterion. We find that, compared to appropriate null models, the metabolic networks are exceptionally robust. Furthermore, by decomposing each network into rigid clusters and branched metabolites, we demonstrate that the enhanced robustness is related to the organization of branched metabolites, as rigid cluster formations in the metabolic networks appear to be consistent with null model behavior. Finally, we show that cascading in the metabolic networks can be described as a percolation process.
机译:我们使用基于拓扑通量平衡标准的级联失效模型,研究了大肠杆菌,巴氏甲烷八叠球菌,金黄色葡萄球菌和酿酒酵母的代谢网络的结构与健壮性之间的关系。我们发现,与适当的零模型相比,代谢网络异常健壮。此外,通过将每个网络分解为刚性簇和分支代谢物,我们证明增强的鲁棒性与分支代谢物的组织有关,因为代谢网络中的刚性簇形成似乎与无效模型行为一致。最后,我们证明了在代谢网络中的级联可以描述为渗滤过程。

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