Literature DB >> 16731697

Metatool 5.0: fast and flexible elementary modes analysis.

Axel von Kamp1, Stefan Schuster.   

Abstract

SUMMARY: Elementary modes analysis is a powerful tool in the constraint-based modeling of metabolic networks. In recent years, new approaches to calculating elementary modes in biochemical reaction networks have been developed. As a consequence, the program Metatool, which is one of the first programs dedicated to this purpose, has been reimplemented in order to make use of these new approaches. The performance of Metatool has been significantly increased and the new version 5.0 can now be run inside the GNU octave or Matlab environments to allow more flexible usage and integration with other tools. AVAILABILITY: The script files and compiled shared libraries can be downloaded from the Metatool website at http://pinguin.biologie.uni-jena.de/bioinformatik/networks/index.html. Metatool consists of script files (m-files) for GNU octave as well as Matlab and shared libraries. The scripts are licensed under the GNU Public License and the use of the shared libraries is free for academic users and testing purposes. Commercial use of Metatool requires a special contract.

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Year:  2006        PMID: 16731697     DOI: 10.1093/bioinformatics/btl267

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  56 in total

1.  Analysis of metabolic subnetworks by flux cone projection.

Authors:  Sayed-Amir Marashi; Laszlo David; Alexander Bockmayr
Journal:  Algorithms Mol Biol       Date:  2012-05-29       Impact factor: 1.405

2.  On algebraic properties of extreme pathways in metabolic networks.

Authors:  Dimitrije Jevremovic; Cong T Trinh; Friedrich Srienc; Daniel Boley
Journal:  J Comput Biol       Date:  2010-02       Impact factor: 1.479

3.  Flux modules in metabolic networks.

Authors:  Arne C Müller; Alexander Bockmayr
Journal:  J Math Biol       Date:  2013-10-19       Impact factor: 2.259

4.  A portable structural analysis library for reaction networks.

Authors:  Yosef Bedaso; Frank T Bergmann; Kiri Choi; Kyle Medley; Herbert M Sauro
Journal:  Biosystems       Date:  2018-05-30       Impact factor: 1.973

5.  Minimal Escherichia coli cell for the most efficient production of ethanol from hexoses and pentoses.

Authors:  Cong T Trinh; Pornkamol Unrean; Friedrich Srienc
Journal:  Appl Environ Microbiol       Date:  2008-04-18       Impact factor: 4.792

6.  Inferring branching pathways in genome-scale metabolic networks.

Authors:  Esa Pitkänen; Paula Jouhten; Juho Rousu
Journal:  BMC Syst Biol       Date:  2009-10-29

7.  BioMet Toolbox: genome-wide analysis of metabolism.

Authors:  Marija Cvijovic; Roberto Olivares-Hernández; Rasmus Agren; Niklas Dahr; Wanwipa Vongsangnak; Intawat Nookaew; Kiran Raosaheb Patil; Jens Nielsen
Journal:  Nucleic Acids Res       Date:  2010-05-18       Impact factor: 16.971

8.  Signatures of arithmetic simplicity in metabolic network architecture.

Authors:  William J Riehl; Paul L Krapivsky; Sidney Redner; Daniel Segrè
Journal:  PLoS Comput Biol       Date:  2010-04-01       Impact factor: 4.475

9.  Utilizing elementary mode analysis, pathway thermodynamics, and a genetic algorithm for metabolic flux determination and optimal metabolic network design.

Authors:  Brett A Boghigian; Hai Shi; Kyongbum Lee; Blaine A Pfeifer
Journal:  BMC Syst Biol       Date:  2010-04-23

Review 10.  Genome-scale models of bacterial metabolism: reconstruction and applications.

Authors:  Maxime Durot; Pierre-Yves Bourguignon; Vincent Schachter
Journal:  FEMS Microbiol Rev       Date:  2008-12-03       Impact factor: 16.408

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