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Workflow of <t>OpenFLUX2.</t> Green boxes represent the two main components of OpenFLUX(2): PARSER for automatic stoichiometric and isotopomer model generation and the MATLAB-based box for the 13 C-MFA of the generated model. A gray background indicates options offered by OpenFLUX(2). A yellow background indicates options added during OpenFLUX2 development.
Openflux2, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
openflux2 - by Bioz Stars, 2026-04
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Article Title: OpenFLUX2: 13 C-MFA modeling software package adjusted for the comprehensive analysis of single and parallel labeling experiments

Journal: Microbial Cell Factories

doi: 10.1186/s12934-014-0152-x

Workflow of OpenFLUX2. Green boxes represent the two main components of OpenFLUX(2): PARSER for automatic stoichiometric and isotopomer model generation and the MATLAB-based box for the 13 C-MFA of the generated model. A gray background indicates options offered by OpenFLUX(2). A yellow background indicates options added during OpenFLUX2 development.
Figure Legend Snippet: Workflow of OpenFLUX2. Green boxes represent the two main components of OpenFLUX(2): PARSER for automatic stoichiometric and isotopomer model generation and the MATLAB-based box for the 13 C-MFA of the generated model. A gray background indicates options offered by OpenFLUX(2). A yellow background indicates options added during OpenFLUX2 development.

Techniques Used: Generated

Experimental design studies for the identification of mixtures of [1- 13 C]/[U- 12 C]/[U- 13 C]-glucose isotopomers for “general” optimization or for the best resolution (“partial” optimization) of θ 31 , θ 14 , θ 22 fluxes (I) , results of these flux estimations (II) obtained through 13 C-MFA of the simulated SLEs ( A – F ) or PLEs ( G ) with the mentioned mixed tracers: A − SLE, 0/50/50, %% (partially optimized for θ 12 ); B − SLE, 10/44/46, %% (partially optimized for θ 22 ); C − SLE, 13/0/87, %% (partially optimized for θ 31 ); D − SLE, 66/0/34, %% (partially optimized for θ 14 ); E − SLE, 89/0/11, %% (partially optimized for θ 10 ); F −78/0/22, %% (generally optimized); G − PLE consisting of five LEs using the same tracers as in A – E for each experiment (red 68% CI boxes); (III) the normalized flux precision function values for the confidence level of γ = 0.95 computed for these (A – G) experiments. Green 68% CI boxes in (II) indicate flux estimation resulted from 13 C-MFA of SLE optimized for best resolution of this flux. The results of the experimental design studies computed by OpenFLUX2 were visualized in the form of a ternary plot generated by commercially available OriginPro 9.1 (Originlab Corp., Northampton, MA, USA) software.
Figure Legend Snippet: Experimental design studies for the identification of mixtures of [1- 13 C]/[U- 12 C]/[U- 13 C]-glucose isotopomers for “general” optimization or for the best resolution (“partial” optimization) of θ 31 , θ 14 , θ 22 fluxes (I) , results of these flux estimations (II) obtained through 13 C-MFA of the simulated SLEs ( A – F ) or PLEs ( G ) with the mentioned mixed tracers: A − SLE, 0/50/50, %% (partially optimized for θ 12 ); B − SLE, 10/44/46, %% (partially optimized for θ 22 ); C − SLE, 13/0/87, %% (partially optimized for θ 31 ); D − SLE, 66/0/34, %% (partially optimized for θ 14 ); E − SLE, 89/0/11, %% (partially optimized for θ 10 ); F −78/0/22, %% (generally optimized); G − PLE consisting of five LEs using the same tracers as in A – E for each experiment (red 68% CI boxes); (III) the normalized flux precision function values for the confidence level of γ = 0.95 computed for these (A – G) experiments. Green 68% CI boxes in (II) indicate flux estimation resulted from 13 C-MFA of SLE optimized for best resolution of this flux. The results of the experimental design studies computed by OpenFLUX2 were visualized in the form of a ternary plot generated by commercially available OriginPro 9.1 (Originlab Corp., Northampton, MA, USA) software.

Techniques Used: Generated, Software



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Workflow of <t>OpenFLUX2.</t> Green boxes represent the two main components of OpenFLUX(2): PARSER for automatic stoichiometric and isotopomer model generation and the MATLAB-based box for the 13 C-MFA of the generated model. A gray background indicates options offered by OpenFLUX(2). A yellow background indicates options added during OpenFLUX2 development.
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Image Search Results


Optimization-Based Computational Tools Available for 13 C MFA

Journal: ACS Synthetic Biology

Article Title: FreeFlux: A Python Package for Time-Efficient Isotopically Nonstationary Metabolic Flux Analysis

doi: 10.1021/acssynbio.3c00265

Figure Lengend Snippet: Optimization-Based Computational Tools Available for 13 C MFA

Article Snippet: OpenFLUX2 , isotopic steady state , yes , MATLAB, Java , Windows , ∼20 min single run with a Corynebacterium glutamicum model (51 reactions, 36 metabolites) (single labeling experiment), ∼30-70 h for CIs (Monte Carlo method) , ( ) .

Techniques: Labeling

Workflow of OpenFLUX2. Green boxes represent the two main components of OpenFLUX(2): PARSER for automatic stoichiometric and isotopomer model generation and the MATLAB-based box for the 13 C-MFA of the generated model. A gray background indicates options offered by OpenFLUX(2). A yellow background indicates options added during OpenFLUX2 development.

Journal: Microbial Cell Factories

Article Title: OpenFLUX2: 13 C-MFA modeling software package adjusted for the comprehensive analysis of single and parallel labeling experiments

doi: 10.1186/s12934-014-0152-x

Figure Lengend Snippet: Workflow of OpenFLUX2. Green boxes represent the two main components of OpenFLUX(2): PARSER for automatic stoichiometric and isotopomer model generation and the MATLAB-based box for the 13 C-MFA of the generated model. A gray background indicates options offered by OpenFLUX(2). A yellow background indicates options added during OpenFLUX2 development.

Article Snippet: OpenFLUX2 can be downloaded from SourceForge ( http://sourceforge.net/projects/openflux2 ).

Techniques: Generated

Experimental design studies for the identification of mixtures of [1- 13 C]/[U- 12 C]/[U- 13 C]-glucose isotopomers for “general” optimization or for the best resolution (“partial” optimization) of θ 31 , θ 14 , θ 22 fluxes (I) , results of these flux estimations (II) obtained through 13 C-MFA of the simulated SLEs ( A – F ) or PLEs ( G ) with the mentioned mixed tracers: A − SLE, 0/50/50, %% (partially optimized for θ 12 ); B − SLE, 10/44/46, %% (partially optimized for θ 22 ); C − SLE, 13/0/87, %% (partially optimized for θ 31 ); D − SLE, 66/0/34, %% (partially optimized for θ 14 ); E − SLE, 89/0/11, %% (partially optimized for θ 10 ); F −78/0/22, %% (generally optimized); G − PLE consisting of five LEs using the same tracers as in A – E for each experiment (red 68% CI boxes); (III) the normalized flux precision function values for the confidence level of γ = 0.95 computed for these (A – G) experiments. Green 68% CI boxes in (II) indicate flux estimation resulted from 13 C-MFA of SLE optimized for best resolution of this flux. The results of the experimental design studies computed by OpenFLUX2 were visualized in the form of a ternary plot generated by commercially available OriginPro 9.1 (Originlab Corp., Northampton, MA, USA) software.

Journal: Microbial Cell Factories

Article Title: OpenFLUX2: 13 C-MFA modeling software package adjusted for the comprehensive analysis of single and parallel labeling experiments

doi: 10.1186/s12934-014-0152-x

Figure Lengend Snippet: Experimental design studies for the identification of mixtures of [1- 13 C]/[U- 12 C]/[U- 13 C]-glucose isotopomers for “general” optimization or for the best resolution (“partial” optimization) of θ 31 , θ 14 , θ 22 fluxes (I) , results of these flux estimations (II) obtained through 13 C-MFA of the simulated SLEs ( A – F ) or PLEs ( G ) with the mentioned mixed tracers: A − SLE, 0/50/50, %% (partially optimized for θ 12 ); B − SLE, 10/44/46, %% (partially optimized for θ 22 ); C − SLE, 13/0/87, %% (partially optimized for θ 31 ); D − SLE, 66/0/34, %% (partially optimized for θ 14 ); E − SLE, 89/0/11, %% (partially optimized for θ 10 ); F −78/0/22, %% (generally optimized); G − PLE consisting of five LEs using the same tracers as in A – E for each experiment (red 68% CI boxes); (III) the normalized flux precision function values for the confidence level of γ = 0.95 computed for these (A – G) experiments. Green 68% CI boxes in (II) indicate flux estimation resulted from 13 C-MFA of SLE optimized for best resolution of this flux. The results of the experimental design studies computed by OpenFLUX2 were visualized in the form of a ternary plot generated by commercially available OriginPro 9.1 (Originlab Corp., Northampton, MA, USA) software.

Article Snippet: OpenFLUX2 can be downloaded from SourceForge ( http://sourceforge.net/projects/openflux2 ).

Techniques: Generated, Software

Workflow of OpenFLUX2. Green boxes represent the two main components of OpenFLUX(2): PARSER for automatic stoichiometric and isotopomer model generation and the MATLAB-based box for the 13 C-MFA of the generated model. A gray background indicates options offered by OpenFLUX(2). A yellow background indicates options added during OpenFLUX2 development.

Journal: Microbial Cell Factories

Article Title: OpenFLUX2: 13 C-MFA modeling software package adjusted for the comprehensive analysis of single and parallel labeling experiments

doi: 10.1186/s12934-014-0152-x

Figure Lengend Snippet: Workflow of OpenFLUX2. Green boxes represent the two main components of OpenFLUX(2): PARSER for automatic stoichiometric and isotopomer model generation and the MATLAB-based box for the 13 C-MFA of the generated model. A gray background indicates options offered by OpenFLUX(2). A yellow background indicates options added during OpenFLUX2 development.

Article Snippet: Statistically acceptable solution (corresponding to the value 9.65 of Ξ( θ ) function (for the group of 27 from 100 performed trials) that was smaller even the lower threshold, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$ \left({\chi}_{0.025}^2(30)=16.79\right) $$ \end{document} χ 0.025 2 30 = 16.79 ) at the 95% confidence level, with Ν(0, 1) distributed weighted residuals, was found using OpenFLUX2 (Table (Exp_3.6) ).

Techniques: Generated

Experimental design studies for the identification of mixtures of [1- 13 C]/[U- 12 C]/[U- 13 C]-glucose isotopomers for “general” optimization or for the best resolution (“partial” optimization) of θ 31 , θ 14 , θ 22 fluxes (I) , results of these flux estimations (II) obtained through 13 C-MFA of the simulated SLEs ( A – F ) or PLEs ( G ) with the mentioned mixed tracers: A − SLE, 0/50/50, %% (partially optimized for θ 12 ); B − SLE, 10/44/46, %% (partially optimized for θ 22 ); C − SLE, 13/0/87, %% (partially optimized for θ 31 ); D − SLE, 66/0/34, %% (partially optimized for θ 14 ); E − SLE, 89/0/11, %% (partially optimized for θ 10 ); F −78/0/22, %% (generally optimized); G − PLE consisting of five LEs using the same tracers as in A – E for each experiment (red 68% CI boxes); (III) the normalized flux precision function values for the confidence level of γ = 0.95 computed for these (A – G) experiments. Green 68% CI boxes in (II) indicate flux estimation resulted from 13 C-MFA of SLE optimized for best resolution of this flux. The results of the experimental design studies computed by OpenFLUX2 were visualized in the form of a ternary plot generated by commercially available OriginPro 9.1 (Originlab Corp., Northampton, MA, USA) software.

Journal: Microbial Cell Factories

Article Title: OpenFLUX2: 13 C-MFA modeling software package adjusted for the comprehensive analysis of single and parallel labeling experiments

doi: 10.1186/s12934-014-0152-x

Figure Lengend Snippet: Experimental design studies for the identification of mixtures of [1- 13 C]/[U- 12 C]/[U- 13 C]-glucose isotopomers for “general” optimization or for the best resolution (“partial” optimization) of θ 31 , θ 14 , θ 22 fluxes (I) , results of these flux estimations (II) obtained through 13 C-MFA of the simulated SLEs ( A – F ) or PLEs ( G ) with the mentioned mixed tracers: A − SLE, 0/50/50, %% (partially optimized for θ 12 ); B − SLE, 10/44/46, %% (partially optimized for θ 22 ); C − SLE, 13/0/87, %% (partially optimized for θ 31 ); D − SLE, 66/0/34, %% (partially optimized for θ 14 ); E − SLE, 89/0/11, %% (partially optimized for θ 10 ); F −78/0/22, %% (generally optimized); G − PLE consisting of five LEs using the same tracers as in A – E for each experiment (red 68% CI boxes); (III) the normalized flux precision function values for the confidence level of γ = 0.95 computed for these (A – G) experiments. Green 68% CI boxes in (II) indicate flux estimation resulted from 13 C-MFA of SLE optimized for best resolution of this flux. The results of the experimental design studies computed by OpenFLUX2 were visualized in the form of a ternary plot generated by commercially available OriginPro 9.1 (Originlab Corp., Northampton, MA, USA) software.

Article Snippet: Statistically acceptable solution (corresponding to the value 9.65 of Ξ( θ ) function (for the group of 27 from 100 performed trials) that was smaller even the lower threshold, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$ \left({\chi}_{0.025}^2(30)=16.79\right) $$ \end{document} χ 0.025 2 30 = 16.79 ) at the 95% confidence level, with Ν(0, 1) distributed weighted residuals, was found using OpenFLUX2 (Table (Exp_3.6) ).

Techniques: Generated, Software