Evidence map›Paper›PMID 21851335›Full record

ArticleCurrent topics in medicinal chemistry2011

Cross-pharmacology analysis of G protein-coupled receptors.

Ferran Briansó, Maria C Carrascosa, Tudor I Oprea, Jordi Mestres

Open access · greenAbstract read
In one paragraph

Article in Current topics in medicinal chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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  4. Exploring pharmacological inhibition of GBritish journal of pharmacology · 2022
    Article
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  12. Polypharmacology: drug discovery for the future.Expert review of clinical pharmacology · 2013
    Review
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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 2 institutions in 2 countries.

Ferran BriansóChemogenomics Laboratory, Research Unit on Biomedical Informatics, Institut Municipal d’Investigació Mèdica and Universitat Pompeu Fabra, Parc de Recerca Biomèdica (PRBB), Doctor Aiguader 88, 08003 Barcelona, Catalonia, Spain.
Maria C Carrascosa
Tudor I Oprea
Jordi Mestres
Pompeu Fabra University · ESUniversity of New Mexico · US

Funding

Yeast Biology ConsortiumU54MH084690 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI TEGOS, GEORGE P · 2008 to 2013
$14.4M
NIMH NIH HHS 5U54MH084690-02NIMH NIH HHS U54 MH084690
6 · The paper itself

Abstract

The degree of applicability of chemogenomic approaches to protein families depends on the accuracy and completeness of pharmacological data and the corresponding level of pharmacological similarity observed among their protein members. The recent public domain availability of pharmacological data for thousands of small molecules on 204 G protein-coupled receptors (GPCRs) provides a firm basis for an in-depth cross-pharmacology analysis of this superfamily. The number of protein targets included in the cross-pharmacology profile of the different GPCRs changes significantly upon varying the ligand similarity and binding affinity criteria. However, with the exception of muscarinic receptors, aminergic GPCRs distinguish themselves from the rest of the members in the family by their remarkably high levels of pharmacological similarity among them. Clusters of non-GPCR targets related by cross-pharmacology with particular GPCRs are identified and the implications for unwanted side-effects, as well as for repurposing opportunities, discussed.

Indexed as

Databases, FactualDrug DesignDrug DiscoveryGenomicsHumansLigandsPharmacologyReceptors, G-Protein-CoupledLigandsReceptors, G-Protein-Coupled

Identifiers

PMID21851335
PMCPMC3717414
OpenAlexW2134231719

What OpenQuestion holds

Textmetadata
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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.