Over the past decades, our understanding of microbial metabolism has increased
dramatically. Metabolomics, a family of techniques that are used to measure the quantities of …

Advances in synthetic biology and artificial intelligence (AI) have provided new opportunities
for modern biotechnology. High-performance cell factories, the backbone of industrial …

The capability of cyanobacteria to produce sucrose from CO 2 and light has a remarkable
societal and biotechnological impact since sucrose can serve as a carbon and energy …

Large-scale kinetic models provide the computational means to dynamically link metabolic
reaction fluxes to metabolite concentrations and enzyme levels while also conforming to …

Turnover numbers characterize a key property of enzymes, and their usage in constraint-
based metabolic modeling is expected to increase the prediction accuracy of diverse cellular …

Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …

Reversed-flow gas chromatography (RFGC) was employed to assess the impact of genetic
modification on Saccharomyces cerevisiae yeast strains during the process of alcoholic …

Quantification of enzymatic activities still heavily relies on experimental assays, which can
be expensive and time-consuming. Therefore, methods that enable accurate predictions of …

Genome-scale metabolic models (GEMs) can facilitate metabolism-focused multi-omics
integrative analysis. Since Yeast8, the yeast-GEM of Saccharomyces cerevisiae, published …

Quantification of enzymatic activities still heavily relies on experimental assays, which can
be expensive and time-consuming. Therefore, methods that enable accurate predictions of …