Evidence map›Paper›PMID 25332398›Full record

ArticleNucleic acids research2015

The human DEPhOsphorylation database DEPOD: a 2015 update.

Guangyou Duan, Xun Li, Maja Köhn

Open access · goldAbstract 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 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

43 citing papers in PubMed, 72 citations in OpenAlex.

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  19. Ouabain-regulated phosphoproteome reveals molecular mechanisms for NaFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
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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

3 authors at 1 institution in 1 country.

Guangyou DuanEuropean Molecular Biology Laboratory, Genome Biology Unit, Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Xun LiEuropean Molecular Biology Laboratory, Genome Biology Unit, Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Maja KöhnEuropean Molecular Biology Laboratory, Genome Biology Unit, Meyerhofstrasse 1, 69117 Heidelberg, Germany koehn@embl.de.
European Molecular Biology Laboratory · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphatases are crucial enzymes in health and disease, but the knowledge of their biological roles is still limited. Identifying substrates continues to be a great challenge. To support the research on phosphatase-kinase-substrate networks we present here an update on the human DEPhOsphorylation Database: DEPOD (http://www.depod.org or http://www.koehn.embl.de/depod). DEPOD is a manually curated open access database providing human phosphatases, their protein and non-protein substrates, dephosphorylation sites, pathway involvements and external links to kinases and small molecule modulators. All internal data are fully searchable including a BLAST application. Since the first release, more human phosphatases and substrates, their associated signaling pathways (also from new sources), and interacting proteins for all phosphatases and protein substrates have been added into DEPOD. The user interface has been further optimized; for example, the interactive human phosphatase-substrate network contains now a 'highlight node' function for phosphatases, which includes the visualization of neighbors in the network.

Indexed as

Databases, ProteinHumansInternetPhosphoprotein PhosphatasesPhosphoric Monoester HydrolasesProtein Processing, Post-TranslationalPhosphoprotein PhosphatasesPhosphoric Monoester Hydrolases

Identifiers

PMID25332398
PMCPMC4383878
OpenAlexW2042426245

What OpenQuestion holds

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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.