B
Bas Teusink
Researcher at VU University Amsterdam
Publications - 208
Citations - 12497
Bas Teusink is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Metabolic network & Saccharomyces cerevisiae. The author has an hindex of 56, co-authored 193 publications receiving 10872 citations. Previous affiliations of Bas Teusink include University of Amsterdam & Delft University of Technology.
Papers
More filters
Journal ArticleDOI
Evolutionary engineering to enhance starter culture performance in food fermentations
TL;DR: Recent developments of strain selection protocols and how computational approaches can assist experimental design of desired phenotypes are discussed and the analysis of evolved phenotypes and possibilities with complex consortia are highlighted.
Journal ArticleDOI
Genome data mining of lactic acid bacteria: the impact of bioinformatics.
TL;DR: In this paper, the authors use bioinformatics tools and databases, followed by targeted experimental verification and exploration of the metabolic and regulatory network properties, are the present challenges that should lead to improved exploitation of these versatile food bacteria.
Journal ArticleDOI
A critical view of metabolic network adaptations
TL;DR: It is concluded that the global topological characteristics of metabolic networks and their mutational robustness are unlikely to be directly shaped by natural selection, but various aspects of individual pathways and the behavior of the whole network show signs of adaptations, even though the exact selective forces often remain elusive.
Journal ArticleDOI
Basic concepts and principles of stoichiometric modeling of metabolic networks
TL;DR: The basic theoretical underpinnings of constraint‐based stoichiometric modeling of metabolic networks are reviewed and basic concepts, such as stoichiometry, chemical moiety conservation, flux modes, flux balance analysis, and flux solution spaces, are explained with simple, illustrative examples.
Journal ArticleDOI
Control analysis of glycolytic oscillations.
TL;DR: A summation theorem is identified, stating that the sum of such control coefficients over all processes equals unity for frequency and zero for the average concentrations of sustained metabolic oscillations.