ArticleMicrobial cell factories2026
Kinetic sampling shows the effect of medium composition on metabolic control in Saccharomyces cerevisiae.
Article in Microbial cell factories, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Metabolic control analysis is used to understand regulation of metabolism and identify bottlenecks to be overcome in metabolic engineering for desired products. Its application has been hampered by the need for either parameterized models or carefully titrated experiments. In this study, we use thermodynamically feasible, sampled parameters to overcome this limitation. We use metabolic control analysis to explore central carbon metabolism of Saccharomyces cerevisiae growing in continuous culture under different nutrient limitations. Furthermore, we demonstrate shifts in flux control patterns in response to the different growth conditions and show how our results for specific reactions agree with the literature. Key advantages of the proposed framework include the incorporation of allosteric effectors, the use of omics data from a single steady-state time point and the computational efficiency; in all cases, 100 feasible models were sampled in less than 20 min on a laptop. The model and framework are freely available for researchers to use on their own data: https://github.com/biosustain/GRASP.git .
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.