Evidence map›Paper›PMID 17142231›Full record

ArticleNucleic acids research2007

Phospho3D: a database of three-dimensional structures of protein phosphorylation sites.

Andreas Zanzoni, Gabriele Ausiello, Allegra Via, Pier Federico Gherardini, Manuela Helmer-Citterich

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. The carboxy-terminus, a key regulator of protein function.Critical reviews in biochemistry and molecular biology · 2019
    Review
  5. Article
  6. Review
  7. Article
  8. AMASS: a database for investigating protein structures.Bioinformatics (Oxford, England) · 2014
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  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

5 authors.

Andreas ZanzoniCentre for Molecular Bioinformatics, Department of Biology University of Rome Tor Vergata, Rome 00133, Italy. andreas@cbm.bio.uniroma2.it
Gabriele Ausiello
Allegra Via
Pier Federico Gherardini
Manuela Helmer-Citterich

Funding

Telethon GGP04273
6 · The paper itself

Abstract

Phosphorylation is the most common protein post-translational modification. Phosphorylated residues (serine, threonine and tyrosine) play critical roles in the regulation of many cellular processes. Since the amount of data produced by screening assays is growing continuously, the development of computational tools for collecting and analysing experimental data has become a pivotal task for unravelling the complex network of interactions regulating eukaryotic cell life. Here we present Phospho3D, http://cbm.bio.uniroma2.it/phospho3d, a database of 3D structures of phosphorylation sites, which stores information retrieved from the phospho.ELM database and is enriched with structural information and annotations at the residue level. The database also collects the results of a large-scale structural comparison procedure providing clues for the identification of new putative phosphorylation sites.

Indexed as

Databases, ProteinInternetModels, MolecularPhosphoproteinsPhosphorylationProtein ConformationUser-Computer InterfacePhosphoproteins

Identifiers

PMID17142231
PMCPMC1669737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.