The availability and utility of genome‐scale metabolic reconstructions have exploded since
the first genome‐scale reconstruction was published a decade ago. Reconstructions have …

Genome-scale metabolic models bridge the gap between genome-derived biochemical
information and metabolic phenotypes in a principled manner, providing a solid …

Genome-scale metabolic models have proven to be valuable for predicting organism
phenotypes from genotypes. Yet efforts to develop new models are failing to keep pace with …

Integrated-omics approaches are quickly spreading across microbiology research labs,
leading to (i) the possibility of detecting previously hidden features of microbial cells like …

Metabolic pathways have traditionally been described in terms of biochemical reactions and
metabolites. With the use of structural genomics and systems biology, we generated a three …

Background Increasingly, metabolite and reaction information is organized in the form of
genome-scale metabolic reconstructions that describe the reaction stoichiometry …

Genome-scale metabolic networks have been reconstructed for several organisms. These
metabolic networks provide detailed information about the metabolism inside the cells …

Abstract “In silico organisms” are computational genome-scale metabolic models used in
systems and synthetic biology developed by constraint-based metabolic simulations using …

Background Triacylglycerols are used in various purposes including food applications,
cosmetics, oleochemicals and biofuels. Currently the main sources for triacylglycerol are …

Genome-scale metabolic network reconstructions are considered a key step in quantifying
the genotype-phenotype relationship. We present a novel gap-filling approach, MetabolIc …