Evidence map›Paper›PMID 25361965›Full record

ArticleNucleic acids research2015

PTMcode v2: a resource for functional associations of post-translational modifications within and between proteins.

Pablo Minguez, Ivica Letunic, Luca Parca, Luz Garcia-Alonso, Joaquin Dopazo, Jaime Huerta-Cepas, Peer Bork

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
–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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome.Journal of cardiovascular development and disease · 2026
    Review
  6. Review
  7. Article
  8. Posttranslational Modifications ofPharmacological reviews · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Decoding Ubiquitin Modifications by Mass Spectrometry.Advances in experimental medicine and biology · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Prediction of Kinase-Substrate Associations Using The Functional Landscape of Kinases and Phosphorylation Sites.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article
  19. Review
  20. 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

7 authors.

Pablo MinguezEuropean Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Ivica LetunicBiobyte solutions GmbH, Bothestr 142, 69117 Heidelberg, Germany.ORCID http://orcid.org/0000-0003-3560-4288
Luca ParcaEuropean Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Luz Garcia-AlonsoComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain.
Joaquin DopazoComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain.
Jaime Huerta-CepasEuropean Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Peer BorkEuropean Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany Max-Delbruck-Centre for Molecular Medicine, Berlin-Buch, Germany bork@embl.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The post-translational regulation of proteins is mainly driven by two molecular events, their modification by several types of moieties and their interaction with other proteins. These two processes are interdependent and together are responsible for the function of the protein in a particular cell state. Several databases focus on the prediction and compilation of protein-protein interactions (PPIs) and no less on the collection and analysis of protein post-translational modifications (PTMs), however, there are no resources that concentrate on describing the regulatory role of PTMs in PPIs. We developed several methods based on residue co-evolution and proximity to predict the functional associations of pairs of PTMs that we apply to modifications in the same protein and between two interacting proteins. In order to make data available for understudied organisms, PTMcode v2 (http://ptmcode.embl.de) includes a new strategy to propagate PTMs from validated modified sites through orthologous proteins. The second release of PTMcode covers 19 eukaryotic species from which we collected more than 300,000 experimentally verified PTMs (>1,300,000 propagated) of 69 types extracting the post-translational regulation of >100,000 proteins and >100,000 interactions. In total, we report 8 million associations of PTMs regulating single proteins and over 9.4 million interplays tuning PPIs.

Indexed as

Databases, ProteinProtein Processing, Post-TranslationalInternetProtein Interaction Mapping

Identifiers

PMID25361965
PMCPMC4383916

What OpenQuestion holds

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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.