Escherichia coli is considered to be the best-known microorganism given the large number
of published studies detailing its genes, its genome and the biochemical functions of its …

Genome-scale metabolic models (GEMs) computationally describe gene-protein-reaction
associations for entire metabolic genes in an organism, and can be simulated to predict …

To the Editor—Reconstructing metabolic reaction networks enables the development of
testable hypotheses of an organism's metabolism under different conditions 1. State-of-the …

Abstract Machine learning provides researchers a unique opportunity to make metabolic
engineering more predictable. In this review, we offer an introduction to this discipline in …

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

Genome-scale metabolic models are instrumental in uncovering operating principles of
cellular metabolism, for model-guided re-engineering, and unraveling cross-feeding in …

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 …

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 used extensively for analysis of mechanisms
underlying human diseases and metabolic malfunctions. However, the lack of …

Abstract The BiGG Models knowledge base (http://bigg. ucsd. edu) is a centralized
repository for high-quality genome-scale metabolic models. For the past 12 years, the …