Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProd | SpringerLink
In silico identification of metabolic engineering strategies for improved lipid production in Yarrowia lipolytica by genome-scale metabolic modeling | Biotechnology for Biofuels | Full Text
Analyzing and Designing Cell Factories with OptFlux | SpringerLink
Emergent sub-population behavior uncovered with a community dynamic metabolic model of Escherichia coli diauxic growth Supplemen
Improving flux predictions by integrating data from multiple strains
Improving flux predictions by integrating data from multiple strains
Assessing Escherichia coli metabolism models and simulation approaches in phenotype predictions: Validation against experimental data - Costa - 2018 - Biotechnology Progress - Wiley Online Library
Emergent sub-population behavior uncovered with a community dynamic metabolic model of Escherichia coli diauxic growth | bioRxiv
PLOS Computational Biology: In silico co-factor balance estimation using constraint-based modelling informs metabolic engineering in Escherichia coli
Emergent Subpopulation Behavior Uncovered with a Community Dynamic Metabolic Model of Escherichia coli Diauxic Growth | mSystems
The relationship between the target chemical production flux and the... | Download Scientific Diagram
Emergent sub-population behavior uncovered with a community dynamic metabolic model of Escherichia coli diauxic growth | bioRxiv
PLOS Computational Biology: Stoichiometric Representation of Gene–Protein–Reaction Associations Leverages Constraint-Based Analysis from Reaction to Gene-Level Phenotype Prediction
pFBA flux distributions of wild type and engineered models constrained using 13-C MFA data.
![Full text] Designing metabolic engineering strategies with genome-scale metabolic | AGG](https://www.dovepress.com/cr_data/article_fulltext/s58000/58494/img/Table1.jpg "Full text] Designing metabolic engineering strategies with genome-scale metabolic | AGG")
Full text] Designing metabolic engineering strategies with genome-scale metabolic | AGG
PLOS Computational Biology: Stoichiometric Representation of Gene–Protein–Reaction Associations Leverages Constraint-Based Analysis from Reaction to Gene-Level Phenotype Prediction
![Full text] Designing metabolic engineering strategies with genome-scale metabolic | AGG](https://www.dovepress.com/cr_data/article_fulltext/s58000/58494/img/fig1.jpg "Full text] Designing metabolic engineering strategies with genome-scale metabolic | AGG")
Full text] Designing metabolic engineering strategies with genome-scale metabolic | AGG
a) (b) (c) batch, pFBA (d) fedbatch, pFBA (e) (f) (g) batch, MOMA (h) fedbatch, MOMA
Metabolite Labeling prediction. The combination of 13C labeling data... | Download Scientific Diagram
Emergent sub-population behavior uncovered with a community dynamic metabolic model of Escherichia coli diauxic growth
FBA classes are consistent with omic data. Simulations for each growth... | Download Scientific Diagram
Improving the flux distributions simulated with genome-scale metabolic models of Saccharomyces cerevisiae - ScienceDirect
PLOS Computational Biology: Stoichiometric Representation of Gene–Protein–Reaction Associations Leverages Constraint-Based Analysis from Reaction to Gene-Level Phenotype Prediction
Emergent sub-population behavior uncovered with a community dynamic metabolic model of Escherichia coli diauxic growth Supplemen
Assessing Escherichia coli metabolism models and simulation approaches in phenotype predictions: Validation against experimental data - Costa - 2018 - Biotechnology Progress - Wiley Online Library
