Genome-scale metabolic models (GEMs) are computational representations that enable
mathematical exploration of metabolic behaviors within cellular and environmental …

The concept of metabolic models with resource allocation constraints has been around for
over a decade and has clear advantages even when implementation is relatively …

The genome-scale metabolic model (GEM) is a powerful tool for interpreting and predicting
cellular phenotypes under various environmental and genetic perturbations. However, GEM …

Temperature affects cellular processes at different spatiotemporal scales, and identifying the
genetic and molecular mechanisms underlying temperature responses paves the way to …

Genome-scale metabolic models (GEMs) play an important role in the phenotype prediction
of microorganisms, and their accuracy can be further improved by integrating other types of …

The construction of high-performance microbial cell factories (MCFs) is the centerpiece of
biomanufacturing. However, the complex metabolic regulatory network of microorganisms …

The influence of metabolism on signaling, epigenetic markers, and transcription is highly
complex yet important for understanding cancer physiology. Despite the development of …

Stoichiometric genome-scale metabolic models (generally abbreviated GSM, GSMM, or
GEM) have had many applications in exploring phenotypes and guiding metabolic …

Genome-scale metabolic models (GEMs) have been widely employed to predict
microorganism behaviors. However, GEMs only consider stoichiometric constraints, leading …

Synthetic consortia have emerged as a promising biosynthetic platform that offers new
opportunities for biosynthesis. Genome‐scale metabolic network models (GEMs) with …