Evidence map›Paper›PMID 25141288›Full record

ArticleMetabolites2014

Generation and Evaluation of a Genome-Scale Metabolic Network Model of Synechococcus elongatus PCC7942.

Julián Triana, Arnau Montagud, Maria Siurana, David Fuente, Arantxa Urchueguía, Daniel Gamermann, Javier Torres, Jose Tena, Pedro Fernández de Córdoba, Javier F Urchueguía

Abstract read
In one paragraph

Article in Metabolites, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Highlighting the potential ofFrontiers in microbiology · 2023
    Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Unique attributes of cyanobacterial metabolism revealed by improved genome-scale metabolic modeling and essential gene analysis.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  10. Review
  11. Review
  12. Review
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

10 authors.

Julián TrianaUniversidad de Pinar del Río "Hermanos Saíz Montes de Oca", Pinar del Río 20100, Cuba. jtriana@upr.edu.cu.
Arnau MontagudInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, València 46022, Spain. armontag@mat.upv.es.
Maria SiuranaInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, València 46022, Spain. masiupa@upv.es.
David FuenteInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, València 46022, Spain. dafueher@upv.es.
Arantxa UrchueguíaBiozentrum, Universität Basel, 4056 Basel, Switzerland. arantxa.urchueguia@gmail.com.
Daniel GamermannInstituto de Física, Universida de Federal do Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil. danielg@if.ufrgs.br.
Javier TorresInstituto Universitario de Medio Ambiente y Ciencia Marina, Universidad Católica de Valencia "San Vicente Mártir", València 46001, Spain. josetena@ucv.es.
Jose TenaInstituto Universitario de Medio Ambiente y Ciencia Marina, Universidad Católica de Valencia "San Vicente Mártir", València 46001, Spain. josetena@ucv.es.
Pedro Fernández de CórdobaInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, València 46022, Spain. pfernandez@mat.upv.es.
Javier F UrchueguíaInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, València 46022, Spain. jfurchueguia@fis.upv.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reconstruction of genome-scale metabolic models and their applications represent a great advantage of systems biology. Through their use as metabolic flux simulation models, production of industrially-interesting metabolites can be predicted. Due to the growing number of studies of metabolic models driven by the increasing genomic sequencing projects, it is important to conceptualize steps of reconstruction and analysis. We have focused our work in the cyanobacterium Synechococcus elongatus PCC7942, for which several analyses and insights are unveiled. A comprehensive approach has been used, which can be of interest to lead the process of manual curation and genome-scale metabolic analysis. The final model, iSyf715 includes 851 reactions and 838 metabolites. A biomass equation, which encompasses elementary building blocks to allow cell growth, is also included. The applicability of the model is finally demonstrated by simulating autotrophic growth conditions of Synechococcus elongatus PCC7942.

Identifiers

PMID25141288
PMCPMC4192687

What OpenQuestion holds

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LicenceCC BY
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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.