Evidence map›Paper›PMID 28899034›Full record

ReviewFEMS yeast research2017

Genome-scale modeling of yeast: chronology, applications and critical perspectives.

Helder Lopes, Isabel Rocha

Abstract readReview
In one paragraph

Review in FEMS yeast research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Review
  9. Review
  10. Improved production of TaxolMicrobial cell factories · 2023
    Article
  11. Article
  12. Genome-scale modeling drives 70-fold improvement of intracellular heme production inProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors.

Helder LopesCEB - Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
Isabel RochaCEB - Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last 15 years, several genome-scale metabolic models (GSMMs) were developed for different yeast species, aiding both the elucidation of new biological processes and the shift toward a bio-based economy, through the design of in silico inspired cell factories. Here, an historical perspective of the GSMMs built over time for several yeast species is presented and the main inheritance patterns among the metabolic reconstructions are highlighted. We additionally provide a critical perspective on the overall genome-scale modeling procedure, underlining incomplete model validation and evaluation approaches and the quest for the integration of regulatory and kinetic information into yeast GSMMs. A summary of experimentally validated model-based metabolic engineering applications of yeast species is further emphasized, while the main challenges and future perspectives for the field are finally addressed.

Indexed as

Gene Regulatory NetworksGenome, FungalModels, BiologicalMetabolic EngineeringMetabolic Networks and PathwaysSaccharomyces cerevisiaecell factoryconstraint-based modelinggenome-scale metabolic modelmetabolic engineeringmetabolismyeast

Identifiers

PMID28899034
PMCPMC5812505

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.