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

Yang Zhao | Zendy; Takeyuki Tamura | Zendy; Tatsuya Akutsu | Zendy; JeanPhilippe Vert | Zendy

Open Access

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

Author(s) -

Yang Zhao,

Takeyuki Tamura,

Tatsuya Akutsu,

JeanPhilippe Vert

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt364

Subject(s) - flux balance analysis , robustness (evolution) , computer science , metabolic network , computation , mathematical optimization , metabolic engineering , systems biology , biochemical engineering , biological system , computational biology , chemistry , algorithm , mathematics , biology , gene , biochemistry , engineering

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.

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