Over the past decade a massive amount of research has been dedicated to generating
omics data to gain insight into a variety of biological phenomena, including cancer, obesity …

Elementary flux mode (EFM) analysis allows the unbiased decomposition of a metabolic
network into minimal functional units, making it a powerful tool for metabolic engineering …

Recent data suggest that the majority of proteins bind specific metabolites, and that such
interactions are relevant to metabolic and gene regulation,,. However, there are no methods …

Mathematical modeling is an essential tool for the comprehensive understanding of cell
metabolism and its interactions with the environmental and process conditions. Recent …

Motivation: Genome-scale metabolic models have been used extensively to investigate
alterations in cellular metabolism. The accuracy of these models to represent cellular …

The diauxic shift in Saccharomyces cerevisiae is an ideal model to study how eukaryotic
cells readjust their metabolism from glycolytic to gluconeogenic operation. In this work, we …

Microarray development changed the way biologists approach the holistic study of cells and
tissues. In dairy cattle biosciences, the application of omics technology, from spotted …

Steady-state metabolite concentrations in a microorganism typically span several orders of
magnitude. The underlying principles governing these concentrations remain poorly …

Stoichiometric models of metabolism, such as flux balance analysis (FBA), are classically
applied to predicting steady state rates-or fluxes-of metabolic reactions in genome-scale …

Biochemical engineering is one of the pillars of our basic technological knowledge, with
applications in the food, pharmaceutical, biotechnological and water-treatment industries …