optimized model parameters from the simulation of different algorithms Search Results


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Gurobi Optimization iaf1260 genome-scale metabolic model
Frequency distribution of the GPR associations in the <t>iAF1260</t> model with respect to: a) number of subunits per enzyme complex; b) number of isozymes per reaction; c) number of reactions catalyzed per enzyme.
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Frequency distribution of the GPR associations in the <t>iAF1260</t> model with respect to: a) number of subunits per enzyme complex; b) number of isozymes per reaction; c) number of reactions catalyzed per enzyme.
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Frequency distribution of the GPR associations in the <t>iAF1260</t> model with respect to: a) number of subunits per enzyme complex; b) number of isozymes per reaction; c) number of reactions catalyzed per enzyme.
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Molecular Dynamics Inc dynamics flexible fitting (mdff) program
Frequency distribution of the GPR associations in the <t>iAF1260</t> model with respect to: a) number of subunits per enzyme complex; b) number of isozymes per reaction; c) number of reactions catalyzed per enzyme.
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Autodesk Inc autodesk inventor 10
Frequency distribution of the GPR associations in the <t>iAF1260</t> model with respect to: a) number of subunits per enzyme complex; b) number of isozymes per reaction; c) number of reactions catalyzed per enzyme.
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Image Search Results


Frequency distribution of the GPR associations in the iAF1260 model with respect to: a) number of subunits per enzyme complex; b) number of isozymes per reaction; c) number of reactions catalyzed per enzyme.

Journal: PLoS Computational Biology

Article Title: Stoichiometric Representation of Gene–Protein–Reaction Associations Leverages Constraint-Based Analysis from Reaction to Gene-Level Phenotype Prediction

doi: 10.1371/journal.pcbi.1005140

Figure Lengend Snippet: Frequency distribution of the GPR associations in the iAF1260 model with respect to: a) number of subunits per enzyme complex; b) number of isozymes per reaction; c) number of reactions catalyzed per enzyme.

Article Snippet: Unless otherwise stated, all simulations were performed using the iAF1260 genome-scale metabolic model for E. coli [ ] and the Gurobi solver (version 6.5).

Techniques:

Difference in simulation results for: A) pFBA and B) gene-pFBA. Simulations performed using the iAF1260 model with default model conditions (aerobic growth on glucose minimal medium with a maximum glucose uptake rate of 10 mmol/gDW/h). The values of the respective objective functions for this particular subsystem are indicated.

Journal: PLoS Computational Biology

Article Title: Stoichiometric Representation of Gene–Protein–Reaction Associations Leverages Constraint-Based Analysis from Reaction to Gene-Level Phenotype Prediction

doi: 10.1371/journal.pcbi.1005140

Figure Lengend Snippet: Difference in simulation results for: A) pFBA and B) gene-pFBA. Simulations performed using the iAF1260 model with default model conditions (aerobic growth on glucose minimal medium with a maximum glucose uptake rate of 10 mmol/gDW/h). The values of the respective objective functions for this particular subsystem are indicated.

Article Snippet: Unless otherwise stated, all simulations were performed using the iAF1260 genome-scale metabolic model for E. coli [ ] and the Gurobi solver (version 6.5).

Techniques: