FASIMU: flexible software for flux-balance computation series in large metabolic networks.
FASIMU: flexible software for flux-balance computation series in large metabolic networks.
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FASIMU:大型代谢网络中通量平衡计算系列的灵活软件。
DOI:
10.1186/1471-2105-12-28
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发表时间:
2011-01-22
影响因子:
3
通讯作者:
Holzhütter HG
中科院分区:
文献类型:
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作者:
Hoppe A;Hoffmann S;Gerasch A;Gille C;Holzhütter HG
Flux-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. We 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. We 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.
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影响因子:
--
作者:
Hoppe, Andreas;Hoffmann, Sabrina;Holzhutter, Hermann-Georg
通讯作者:
Holzhutter, Hermann-Georg
DOI:
10.1038/nrmicro1949
发表时间:
2009-02
期刊:
Nature reviews. Microbiology
影响因子:
--
作者:
通讯作者:
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影响因子:
5.8
作者:
Gevorgyan, Albert;Poolman, Mark G.;Fell, David A.
通讯作者:
Fell, David A.
影响因子:
5.8
作者:
Bell, SL;Palsson, BO
通讯作者:
Palsson, BO
影响因子:
5.8
作者:
Hucka, M;Finney, A;Wang, J
通讯作者:
Wang, J