Evidence map›Paper›PMID 31395883›Full record

ArticleNature communications2019

A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism.

Hongzhong Lu, Feiran Li, Benjamín J Sánchez, Zhengming Zhu, Gang Li, Iván Domenzain, Simonas Marcišauskas, Petre Mihail Anton, Dimitra Lappa, Christian Lieven and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 170 papers.

0numbers the graph read from it
0cells of the map it votes in
170citing 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

170 citing papers in PubMed.

  1. Article
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  6. Reconstruction of human metabolic models with large language models.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. A kinetic mathematical model of comprehensive iron metabolism in a respiring yeast cell: a basic-pathways approach to solving a large system dynamically.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Systems biology of yeast metabolism.FEMS yeast research · 2026
    Review
  15. Computational and structural biotechnology journal · 2026
    Article
  16. Article
  17. The Power of Yeast.Yeast (Chichester, England) · 2025
    Review
  18. Article
  19. Article
  20. Article

110 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Hongzhong LuDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.
Feiran LiDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.
Benjamín J SánchezDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.
Zhengming ZhuDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.
Gang LiDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.ORCID http://orcid.org/0000-0001-6778-2842
Iván DomenzainDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-5322-2040
Simonas MarcišauskasDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-0770-6383
Petre Mihail AntonDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-7753-9042
Dimitra LappaDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.ORCID http://orcid.org/0000-0001-6336-2680
Christian LievenThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2800 Kgs, Lyngby, Denmark.ORCID http://orcid.org/0000-0001-5377-4091
Moritz Emanuel BeberThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2800 Kgs, Lyngby, Denmark.ORCID http://orcid.org/0000-0003-2406-1978
Nikolaus SonnenscheinThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2800 Kgs, Lyngby, Denmark.
Eduard J KerkhovenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-3593-5792
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden. nielsenj@chalmers.se.ORCID http://orcid.org/0000-0002-9955-6003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-scale metabolic models (GEMs) represent extensive knowledgebases that provide a platform for model simulations and integrative analysis of omics data. This study introduces Yeast8 and an associated ecosystem of models that represent a comprehensive computational resource for performing simulations of the metabolism of Saccharomyces cerevisiae--an important model organism and widely used cell-factory. Yeast8 tracks community development with version control, setting a standard for how GEMs can be continuously updated in a simple and reproducible way. We use Yeast8 to develop the derived models panYeast8 and coreYeast8, which in turn enable the reconstruction of GEMs for 1,011 different yeast strains. Through integration with enzyme constraints (ecYeast8) and protein 3D structures (proYeast8

Indexed as

Computational BiologyModels, BiologicalGenomicsMetabolic EngineeringMetabolic Networks and PathwaysMetabolomeMetabolomicsMutationPhenotypeSaccharomyces cerevisiae

Identifiers

PMID31395883
PMCPMC6687777

What OpenQuestion holds

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Registered trials

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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.