Literature DB >> 27252734

Elementary Vectors and Conformal Sums in Polyhedral Geometry and their Relevance for Metabolic Pathway Analysis.

Stefan Müller1, Georg Regensburger1.   

Abstract

A fundamental result in metabolic pathway analysis states that every flux mode can be decomposed into a sum of elementary modes. However, only a decomposition without cancelations is biochemically meaningful, since a reversible reaction cannot have different directions in the contributing elementary modes. This essential requirement has been largely overlooked by the metabolic pathway community. Indeed, every flux mode can be decomposed into elementary modes without cancelations. The result is an immediate consequence of a theorem by Rockafellar which states that every element of a linear subspace is a conformal sum (a sum without cancelations) of elementary vectors (support-minimal vectors). In this work, we extend the theorem, first to "subspace cones" and then to general polyhedral cones and polyhedra. Thereby, we refine Minkowski's and Carathéodory's theorems, two fundamental results in polyhedral geometry. We note that, in general, elementary vectors need not be support-minimal; in fact, they are conformally non-decomposable and form a unique minimal set of conformal generators. Our treatment is mathematically rigorous, but suitable for systems biologists, since we give self-contained proofs for our results and use concepts motivated by metabolic pathway analysis. In particular, we study cones defined by linear subspaces and nonnegativity conditions - like the flux cone - and use them to analyze general polyhedral cones and polyhedra. Finally, we review applications of elementary vectors and conformal sums in metabolic pathway analysis.

Entities:  

Keywords:  Carathéodory's theorem; Minkowski's theorem; conformal generators; polyhedral cone; polyhedron; s-cone

Year:  2016        PMID: 27252734      PMCID: PMC4877377          DOI: 10.3389/fgene.2016.00090

Source DB:  PubMed          Journal:  Front Genet        ISSN: 1664-8021            Impact factor:   4.599


  9 in total

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3.  Functional stoichiometric analysis of metabolic networks.

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4.  Enumerating constrained elementary flux vectors of metabolic networks.

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Review 5.  Elementary flux modes in a nutshell: properties, calculation and applications.

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Review 8.  Which metabolic pathways generate and characterize the flux space? A comparison among elementary modes, extreme pathways and minimal generators.

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  9 in total
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7.  OptMDFpathway: Identification of metabolic pathways with maximal thermodynamic driving force and its application for analyzing the endogenous CO2 fixation potential of Escherichia coli.

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8.  Flux tope analysis: studying the coordination of reaction directions in metabolic networks.

Authors:  Matthias P Gerstl; Stefan Müller; Georg Regensburger; Jürgen Zanghellini
Journal:  Bioinformatics       Date:  2019-01-15       Impact factor: 6.937

9.  Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growth.

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  9 in total

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