Assessing Escherichia coli metabolism models and simulation approaches in phenotype predictions: Validation against experimental data - Costa - 2018 - Biotechnology Progress - Wiley Online Library
Metabolite Labeling prediction. The combination of 13C labeling data... | Download Scientific Diagram
Flux balance analysis with or without molecular crowding fails to predict two thirds of experimentally observed epistasis in yeast | Scientific Reports
PLOS Computational Biology: Stoichiometric Representation of Gene–Protein–Reaction Associations Leverages Constraint-Based Analysis from Reaction to Gene-Level Phenotype Prediction
Flux balance analysis with or without molecular crowding fails to predict two thirds of experimentally observed epistasis in yeast | Scientific Reports
Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProd | SpringerLink
Emergent sub-population behavior uncovered with a community dynamic metabolic model of Escherichia coli diauxic growth
Emergent Subpopulation Behavior Uncovered with a Community Dynamic Metabolic Model of Escherichia coli Diauxic Growth | mSystems
Emergent sub-population behavior uncovered with a community dynamic metabolic model of Escherichia coli diauxic growth Supplemen
Geometric illustration of the eMOMA method. Red-colored area represents... | Download Scientific Diagram
Software and Methods for Computational Flux Balance Analysis | SpringerLink
PLOS Computational Biology: In silico co-factor balance estimation using constraint-based modelling informs metabolic engineering in Escherichia coli
Improving flux predictions by integrating data from multiple strains
pFBA flux distributions of wild type and engineered models constrained using 13-C MFA data.
PLOS Computational Biology: Stoichiometric Representation of Gene–Protein–Reaction Associations Leverages Constraint-Based Analysis from Reaction to Gene-Level Phenotype Prediction
Improving the flux distributions simulated with genome-scale metabolic models of Saccharomyces cerevisiae - ScienceDirect
![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
Flux balance analysis with or without molecular crowding fails to predict two thirds of experimentally observed epistasis in yeast | Scientific Reports
Improving the flux distributions simulated with genome-scale metabolic models of Saccharomyces cerevisiae - ScienceDirect
pFBA simulation of a single solution. Difference in simulation results... | Download Scientific Diagram
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
Improving the flux distributions simulated with genome-scale metabolic models of Saccharomyces cerevisiae - ScienceDirect
