Functional stoichiometric analysis of metabolic networks | Zendy

Robert Urbanczik | Zendy; Clemens Wagner | Zendy

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Functional stoichiometric analysis of metabolic networks

Author(s) -

Robert Urbanczik,

Clemens Wagner

Publication year - 2005

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/bti674

Subject(s) - cone (formal languages) , computer science , projection (relational algebra) , metabolic network , focus (optics) , flux (metallurgy) , scale (ratio) , saccharomyces cerevisiae , systems biology , flux balance analysis , theoretical computer science , mathematical optimization , algorithm , computational biology , mathematics , physics , biology , chemistry , optics , biochemistry , organic chemistry , quantum mechanics , gene

An important tool in Systems Biology is the stoichiometric modeling of metabolic networks, where the stationary states of the network are described by a high-dimensional polyhedral cone, the so-called flux cone. Exhaustive descriptions of the metabolism can be obtained by computing the elementary vectors of this cone but, owing to a combinatorial explosion of the number of elementary vectors, this approach becomes computationally intractable for genome scale networks.

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