Evidence map›Paper›PMID 42297013›Full record

ReviewFEMS yeast research2026

Systems biology of yeast metabolism.

Jens Nielsen

Abstract readReview
In one paragraph

Review in FEMS yeast research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jens NielsenBioInnovation Institute, DK2200, Copenhagen N, Denmark.ORCID 0000-0002-9955-6003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolism underpins cellular function by supplying energy, biosynthetic precursors, and redox balance and in yeast there are thousands of metabolic reactions that are tightly coordinated through multilayered regulation. The yeast Saccharomyces cerevisiae has become a central model for studying metabolism and its regulation and following publication of its genome in 1996, this yeast became pivotal in systems biology. Systems biology integrates experimental data with mathematical modeling to analyse complex cellular networks. A major advance for metabolic analysis was the development of flux balance analysis and genome sequencing enabled reconstruction of the first genome-scale metabolic model (GEM) for yeast. This initial GEM described how hundreds of genes, reactions, and metabolites interact across compartments. Subsequent models, including Yeast8 and Yeast9, expanded the coverage and predictive power, and these models enable metabolic comparison, physiological analysis, omics integration, and design of strains that can be used for production of chemicals and biopharmaceuticals. Overall, S. cerevisiae remains a cornerstone of systems biology and biotechnology, with continued advances expected in integrative modeling and engineering applications.

Indexed as

Metabolic Networks and PathwaysSaccharomyces cerevisiaeSystems BiologyMetabolic EngineeringModels, Biologicalgenome-scale metabolic modelsmetabolic engineeringmetabolismSaccharomyces cerevisiaesystems biology

Identifiers

PMID42297013
PMCPMC13296557

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.