Evidence map›Paper›PMID 33156326›Full record

ArticleNucleic acids research2021

MetaNetX/MNXref: unified namespace for metabolites and biochemical reactions in the context of metabolic models.

Sébastien Moretti, Van Du T Tran, Florence Mehl, Mark Ibberson, Marco Pagni

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing 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

101 citing papers in PubMed.

  1. Article
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  6. EHMN2026Metabolites · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Metabolite names and identifiers: how far are we from interoperability?Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  15. LumbriCyc: towards metabolic modelling of earthworms.NPJ systems biology and applications · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

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

5 authors.

Sébastien MorettiVital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland.
Van Du T TranVital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland.
Florence MehlVital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland.
Mark IbbersonVital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland.
Marco PagniVital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MetaNetX/MNXref is a reconciliation of metabolites and biochemical reactions providing cross-links between major public biochemistry and Genome-Scale Metabolic Network (GSMN) databases. The new release brings several improvements with respect to the quality of the reconciliation, with particular attention dedicated to preserving the intrinsic properties of GSMN models. The MetaNetX website (https://www.metanetx.org/) provides access to the full database and online services. A major improvement is for mapping of user-provided GSMNs to MXNref, which now provides diagnostic messages about model content. In addition to the website and flat files, the resource can now be accessed through a SPARQL endpoint (https://rdf.metanetx.org).

Indexed as

Databases, FactualMetabolic Networks and PathwaysMetabolomeModels, BiologicalData Curation

Identifiers

PMID33156326
PMCPMC7778905

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.