Evidence map›Paper›PMID 31724716›Full record

ArticleNucleic acids research2020

The neXtProt knowledgebase in 2020: data, tools and usability improvements.

Monique Zahn-Zabal, Pierre-André Michel, Alain Gateau, Frédéric Nikitin, Mathieu Schaeffer, Estelle Audot, Pascale Gaudet, Paula D Duek, Daniel Teixeira, Valentine Rech de Laval and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. CLASPP: A unified model for predicting post-translational modifications.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Enhancing the SIB Literature Services (SIBiLS) with annotations to support biocuration.Database : the journal of biological databases and curation · 2026
    Article
  11. Article
  12. Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome.Journal of cardiovascular development and disease · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Association ofInternational journal of molecular sciences · 2025
    Article

57 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

13 authors.

Monique Zahn-ZabalCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Pierre-André MichelCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Alain GateauCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Frédéric NikitinCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Mathieu SchaefferCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Estelle AudotCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Pascale GaudetCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Paula D DuekCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Daniel TeixeiraCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Valentine Rech de LavalCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Kasun SamarasingheCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Amos BairochCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.
Lydie LaneCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neXtProt knowledgebase (https://www.nextprot.org) is an integrative resource providing both data on human protein and the tools to explore these. In order to provide comprehensive and up-to-date data, we evaluate and add new data sets. We describe the incorporation of three new data sets that provide expression, function, protein-protein binary interaction, post-translational modifications (PTM) and variant information. New SPARQL query examples illustrating uses of the new data were added. neXtProt has continued to develop tools for proteomics. We have improved the peptide uniqueness checker and have implemented a new protein digestion tool. Together, these tools make it possible to determine which proteases can be used to identify trypsin-resistant proteins by mass spectrometry. In terms of usability, we have finished revamping our web interface and completely rewritten our API. Our SPARQL endpoint now supports federated queries. All the neXtProt data are available via our user interface, API, SPARQL endpoint and FTP site, including the new PEFF 1.0 format files. Finally, the data on our FTP site is now CC BY 4.0 to promote its reuse.

Indexed as

Databases, ProteinKnowledge BasesHumansInternetMass SpectrometryPeptidesProtein KinasesProtein Processing, Post-TranslationalProteinsSequence Analysis, RNASoftwareTrypsinUser-Computer InterfacePeptidesProtein KinasesProteinsTrypsin

Identifiers

PMID31724716
PMCPMC7145669

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.