Evidence map›Paper›PMID 21255455›Full record

ArticleBMC bioinformatics2011

FASIMU: flexible software for flux-balance computation series in large metabolic networks.

Andreas Hoppe, Sabrina Hoffmann, Andreas Gerasch, Christoph Gille, Hermann-Georg Holzhütter

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Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

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27citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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  15. Improving collaboration by standardization efforts in systems biology.Frontiers in bioengineering and biotechnology · 2014
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Andreas HoppeInstitute of Biochemistry, University Medicine Charité Berlin, Seestr, 73, 13347 Berlin, Germany. hoppe@bioinformatics.org
Sabrina Hoffmann
Andreas Gerasch
Christoph Gille
Hermann-Georg Holzhütter

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFlux-balance analysis based on linear optimization is widely used to compute metabolic fluxes in large metabolic networks and gains increasingly importance in network curation and structural analysis. Thus, a computational tool flexible enough to realize a wide variety of FBA algorithms and able to handle batch series of flux-balance optimizations is of great benefit.

resultsWe present FASIMU, a command line oriented software for the computation of flux distributions using a variety of the most common FBA algorithms, including the first available implementation of (i) weighted flux minimization, (ii) fitness maximization for partially inhibited enzymes, and (iii) of the concentration-based thermodynamic feasibility constraint. It allows batch computation with varying objectives and constraints suited for network pruning, leak analysis, flux-variability analysis, and systematic probing of metabolic objectives for network curation. Input and output supports SBML. FASIMU can work with free (lp_solve and GLPK) or commercial solvers (CPLEX, LINDO). A new plugin (faBiNA) for BiNA allows to conveniently visualize calculated flux distributions. The platform-independent program is an open-source project, freely available under GNU public license at http://www.bioinformatics.org/fasimu including manual, tutorial, and plugins.

conclusionsWe present a flux-balance optimization program whose main merits are the implementation of thermodynamics as a constraint, batch series of computations, free availability of sources, choice on various external solvers, and the flexibility on metabolic objectives and constraints.

Indexed as

Metabolic Networks and PathwaysSoftwareAlgorithmsComputational BiologyComputer SimulationModels, Biological

Identifiers

PMID21255455
PMCPMC3038154

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.