Genome‐scale metabolic models ( GEM s) are widely used to calculate metabolic
phenotypes. They rely on defining a set of constraints, the most common of which is that the …

Enzyme turnover numbers (k cat ) are key to understanding cellular metabolism, proteome
allocation and physiological diversity, but experimentally measured k cat data are sparse and …

RAVEN is a commonly used MATLAB toolbox for genome-scale metabolic model (GEM)
reconstruction, curation and constraint-based modelling and simulation. Here we present …

Genome-scale metabolic models (GEMs) are valuable tools to study metabolism and
provide a scaffold for the integrative analysis of omics data. Researchers have developed …

Genome-scale metabolic models (GEMs) represent extensive knowledgebases that provide
a platform for model simulations and integrative analysis of omics data. This study …

Global climate change caused by the accumulation of greenhouse gases (GHGs) has caused
concerns regarding the continued reliance on fossil fuels as our primary energy source. …

Yarrowia lipolytica is a promising microbial cell factory for the production of lipids to be used
as fuels and chemicals, but there are few studies on regulation of its metabolism. Here we …

Genome-scale metabolic models (GEMs) have been widely used for quantitative exploration
of the relation between genotype and phenotype. Streamlined integration of enzyme …

Metabolomics coupled with heavy-atom isotope-labelled glucose has been used to probe
the metabolic pathways active in cultured bloodstream form trypomastigotes of Trypanosoma …

Aerobic fermentation, also referred to as the Crabtree effect in yeast, is a well-studied
phenomenon that allows many eukaryal cells to attain higher growth rates at high glucose …