Analysis of the impact degree distribution in metabolic networks using branching process approximation
Analysis of the impact degree distribution in metabolic networks using branching process approximation
复制标题
使用分支过程近似分析代谢网络中的影响度分布
DOI：
10.1016/j.physa.2011.08.011
复制
发表时间：
2012
期刊：
影响因子：
3.3
通讯作者：
T. Akutsu
中科院分区：
文献类型：
--
作者：
K. Takemoto;T. Tamura;Y. Cong,W-K. Ching;J-P. Vert;T. Akutsu
估计代谢网络对各种故障的耐受性的理论框架对于评估系统生物学中生物复杂系统的鲁棒性非常重要。针对代谢网络鲁棒性的一个度量指标--影响度，提出了一种基于分支过程理论的预测代谢网络结构影响度概率分布的近似方法.我们通过在真实世界的代谢网络上测试来证明这种方法的相关性。虽然近似方法具有一些局限性，它可能是一个强大的工具来评估代谢的鲁棒性。
Theoretical frameworks to estimate the tolerance of metabolic networks to various failures are important to evaluate the robustness of biological complex systems in systems biology. In this paper, we focus on a measure for robustness in metabolic networks, namely, the impact degree, and propose an approximation method to predict the probability distribution of impact degrees from metabolic network structures using the theory of branching process. We demonstrate the relevance of this method by testing it on real-world metabolic networks. Although the approximation method possesses a few limitations, it may be a powerful tool for evaluating metabolic robustness.