Analysis of the impact degree distribution in metabolic networks using branching process approximation

Kazuhiro Takemoto, Takeyuki Tamura, Yang Cong, Wai-Ki Ching, Jean-Philippe Vert and Tatsuya Akutsu

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 1, 379-387

Abstract: 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.

Keywords: Metabolic network; Branching process; Power law; Cascading failure (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:391:y:2012:i:1:p:379-387

DOI: 10.1016/j.physa.2011.08.011

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