Bas Teusink

TL;DR: The genome-scale metabolic model presented here includes gene-protein-reaction associations, allowing a further use for biotechnological applications, for studying essential genes, proteins, or reactions, and the search for novel drug targets.

TL;DR: Analysis of cell-to-cell distance on unidirectional cross-feeding in a three-dimensional aqueous system with competition for the exchanged metabolite shows that competition or other metabolite-removal of a public good in aThree-dimensional system reduces metabolic interaction distances to the low µm-range, highlighting the importance of concentration gradients as physical constraint for cellular interactions.

TL;DR: High-throughput tools and DNA microarrays are valuable tools for elucidating the regulatory responses to different substrates and processing conditions thus allowing rational intervention in fermentations to improve flavour production, and genome-scale metabolic models are used to predict the production of relevant (flavour) components and to expand knowledge about flavour-forming pathways.

TL;DR: This review compares kinetic models of glycolysis in three cell types (African trypanosomes, yeast and skeletal muscle), evaluates their predictive power and identifies limitations in the understanding of human metabolic diseases.

TL;DR: A genome-scale metabolic model of dairy-origin L. cremoris ATCC 19254 was reconstructed to explain the energetics and redox state mechanisms of the organism in full detail, and it was shown that flavor formation only occurs under carbon and ATP excess.