publikum ctižiadostivý Konečné moma vs pfba Je potrebné turbína Uzavreli zmluvu
Flux balance analysis with or without molecular crowding fails to predict two thirds of experimentally observed epistasis in yeast | Scientific Reports
cameo/03-simulate-models.rst at devel · biosustain/cameo · GitHub
Essentiality of local topology and regulation in kinetic metabolic modeling | bioRxiv
Simulate models — cameo 0.13.6 documentation
PSEUDO growth predictions fall between FBA and MOMA. Predicted and... | Download Scientific Diagram
Growth rate predictions for 22 single knockout E. coli mutants using... | Download Scientific Diagram
Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models - ScienceDirect
Cameo: A Python Library for Computer Aided Metabolic Engineering and Optimization of Cell Factories | ACS Synthetic Biology
PSEUDO growth predictions fall between FBA and MOMA. Predicted and... | Download Scientific Diagram
Metabolic Adaptation Processes That Converge to Optimal Biomass Flux Distributions | PLOS Computational Biology
FBA, MOMA and PSEUDO approaches to predicting metabolic fluxes. (A) In... | Download Scientific Diagram
FBA, MOMA and PSEUDO approaches to predicting metabolic fluxes. (A) In... | Download Scientific Diagram
Model‐guided development of an evolutionarily stable yeast chassis | Molecular Systems Biology
Emergent sub-population behavior uncovered with a community dynamic metabolic model of Escherichia coli diauxic growth | bioRxiv
FBA, MOMA and PSEUDO approaches to predicting metabolic fluxes. (A) In... | Download Scientific Diagram
Metabolic Adaptation Processes That Converge to Optimal Biomass Flux Distributions | PLOS Computational Biology
Turnover Dependent Phenotypic Simulation: A Quantitative Constraint-Based Simulation Method That Accommodates All Main Strain Design Strategies | ACS Synthetic Biology
Advances in flux balance analysis by integrating machine learning and mechanism-based models - ScienceDirect
Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models - ScienceDirect
In silico co-factor balance estimation using constraint-based modelling informs metabolic engineering in Escherichia coli