Evidence map›Paper›PMID 11752337›Full record

ArticleNucleic acids research2002

tGRAP, the G-protein coupled receptors mutant database.

Oyvind Edvardsen, Anne Lise Reiersen, Margot W Beukers, Kurt Kristiansen

Open access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Oyvind EdvardsenDepartment of Pharmacology, Institute of Pharmacy, Breivika, University of Tromsø, N-9037 Tromsø, Norway. edvard@farmasi.uit.no
Anne Lise Reiersen
Margot W Beukers
Kurt Kristiansen
UiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The searchable mutant database tGRAP (previously called tinyGRAP) at the University of Tromsø contains data on mutated G-protein coupled receptors (GPCRs). All data have been extracted from scientific papers and entered manually into the database. The current version of the tGRAP mutant database (tGRAP.uit.no, release 10, April 2001) contains around 10 500 mutants extracted from almost 1400 research papers containing mutant data on five families of GPCRs, i.e. Family A, rhodopsin-like; Family B, secretin-like; Family C, metabotropic glutamate-like; Family D, pheromone; Family E, cAMP receptors. A query form provides rapid and simple access to relevant mutant information. In addition to this query form, a tool that enables the user to access mutation data via sequence alignments has been introduced. The ability to access mutant data from such alignments increases the usefulness of the mutant database and facilitates comparison of mutagenesis data between receptors. Moreover, this tool allows the construction of tailor-made sequence alignment views from any combination of receptors belonging to the same class. The database is available at http://tGRAP.uit.no/.

Indexed as

Databases, ProteinMutationAmino Acid SequenceAnimalsChemoreceptor CellsHeterotrimeric GTP-Binding ProteinsInformation Storage and RetrievalInternetMolecular Sequence DataReceptors, Cell SurfaceReceptors, Cyclic AMPReceptors, Gastrointestinal HormoneReceptors, G-Protein-CoupledReceptors, Metabotropic GlutamateRhodopsinSequence AlignmentHeterotrimeric GTP-Binding ProteinsReceptors, Cell SurfaceReceptors, Cyclic AMPReceptors, Gastrointestinal HormoneReceptors, G-Protein-CoupledReceptors, Metabotropic GlutamateRhodopsinsecretin receptor

Identifiers

PMID11752337
PMCPMC99129
OpenAlexW2106015945

What OpenQuestion holds

Textmetadata
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.