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Oxford University Press (OUP), Bioinformatics, 17(29), p. 2178-2185

DOI: 10.1093/bioinformatics/btt364

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Flux balance impact degree: a new definition of impact degree to properly treat reversible reactions in metabolic networks

Journal article published in 2013 by Yang Zhao, Takeyuki Tamura, Tatsuya Akutsu, Jean-Philippe Vert ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: Metabolic pathways are complex systems of chemical reactions taking place in every living cell to degrade substrates and synthesize molecules needed for life. Modeling the robustness of these networks with respect to the dysfunction of one or several reactions is important to understand the basic principles of biological network organization, and to identify new drug targets. While several approaches have been proposed for that purpose, they are computationally too intensive to analyze large networks, and do not properly handle reversible reactions.