Evidence map›Paper›PMID 29149325›Full record

ArticleNucleic acids research2018

The IUPHAR/BPS Guide to PHARMACOLOGY in 2018: updates and expansion to encompass the new guide to IMMUNOPHARMACOLOGY.

Simon D Harding, Joanna L Sharman, Elena Faccenda, Chris Southan, Adam J Pawson, Sam Ireland, Alasdair J G Gray, Liam Bruce, Stephen P H Alexander, Stephen Anderton and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,432 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,432citing papers in PubMed, 5 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

1,432 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  19. Pharmacologic MRI Brain Imaging Studies of Serotonin 5-HTPharmacology research & perspectives · 2026
    Article
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1,372 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Simon D HardingDeanery of Biomedical Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK.
Joanna L SharmanDeanery of Biomedical Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK.
Elena FaccendaDeanery of Biomedical Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK.
Chris SouthanDeanery of Biomedical Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK.
Adam J PawsonDeanery of Biomedical Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK.
Sam IrelandDepartment of Structural & Molecular Biology, University College London, London WC1E 6BT, UK.
Alasdair J G GraySchool of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK.
Liam BruceSchool of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK.
Stephen P H AlexanderSchool of Life Sciences, University of Nottingham Medical School, Nottingham NG7 2UH, UK.
Stephen AndertonMRC Centre for inflammation Research, University of Edinburgh, Edinburgh EH16 4TJ, UK.
Clare BryantDepartment of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK.
Anthony P DavenportExperimental Medicine and Immunotherapeutics, University of Cambridge, Cambridge CB2?0QQ, UK.
Christian DoerigDepartment of Microbiology, Monash University, Clayton 3800, Australia.
Doriano FabbroPIQUR Therapeutics, Basel 4057, Switzerland.
Francesca Levi-SchafferPharmacology and Experimental Therapeutics Unit, School of Pharmacy, Institute for Drug Research, Hebrew University of Jerusalem, Jerusalem 9112102, Israel.
Michael SpeddingSpedding Research Solutions SAS, Le Vésinet 78110, France.
Jamie A DaviesDeanery of Biomedical Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK.
NC-IUPHAR

Funding

Wellcome Trust 108420/Z/15/Z
6 · The paper itself

Abstract

The IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb, www.guidetopharmacology.org) and its precursor IUPHAR-DB, have captured expert-curated interactions between targets and ligands from selected papers in pharmacology and drug discovery since 2003. This resource continues to be developed in conjunction with the International Union of Basic and Clinical Pharmacology (IUPHAR) and the British Pharmacological Society (BPS). As previously described, our unique model of content selection and quality control is based on 96 target-class subcommittees comprising 512 scientists collaborating with in-house curators. This update describes content expansion, new features and interoperability improvements introduced in the 10 releases since August 2015. Our relationship matrix now describes ∼9000 ligands, ∼15 000 binding constants, ∼6000 papers and ∼1700 human proteins. As an important addition, we also introduce our newly funded project for the Guide to IMMUNOPHARMACOLOGY (GtoImmuPdb, www.guidetoimmunopharmacology.org). This has been 'forked' from the well-established GtoPdb data model and expanded into new types of data related to the immune system and inflammatory processes. This includes new ligands, targets, pathways, cell types and diseases for which we are recruiting new IUPHAR expert committees. Designed as an immunopharmacological gateway, it also has an emphasis on potential therapeutic interventions.

Indexed as

Databases, PharmaceuticalAnimalsHumansImmune SystemImmune System DiseasesImmune System PhenomenaLigandsPharmacologyProteinsLigandsProteins

Identifiers

PMID29149325
PMCPMC5753190

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.