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THE CONCISE GUIDE TO PHARMACOLOGY 2017/18: g protein-coupled receptors

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Alexander, Stephen PH, Christopoulos, Arthur, Davenport, Anthony P, Kelly, Eamonn, Marrion, Neil V, Peters, John A, Faccenda, Elena, Harding, Simon D +5 more·2017·British Journal of Pharmacology
DOI 10.1111/bph.13878PMC PMC5650667
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Abstract

The Concise Guide to PHARMACOLOGY 2017/18 provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide represents approximately 400 pages, the material presented is substantially reduced compared to information and links presented on the website. It provides a permanent, citable, point-in-time record that will survive database updates. The full contents of this section can be found at http://onlinelibrary.wiley.com/doi/10.1111/bph.13878/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. The landscape format of the Concise Guide is designed to facilitate comparison of related targets from material contemporary to mid-2017, and supersedes data presented in the 2015/16 and 2013/14 Concise Guides and previous Guides to Receptors and Channels. It is produced in close conjunction with the Nomenclature Committee of the Union of Basic and Clinical Pharmacology (NC-IUPHAR), therefore, providing official IUPHAR classification and nomenclature for human drug targets, where appropriate.

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  • For most NP-GPCR genes, the primary Gα family is now known and offers a good first-order prediction of the encoded GPCR's signal transducing action.

    “For most NP-GPCR genes, the primary Gα family (e.g., i/o, s or q/11) is now known (Alexander et al., 2017) and offers a good first-order prediction of the encoded GPCR’s signal transducing action.”

    From Single-cell transcriptomic evidence for dense intracortical neuropeptide networks (2019) · cites this paper as Alexander et al., 2017

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Authors
Alexander, S. P., Christopoulos, A., Davenport, A. P., Kelly, E., Marrion, N. V., Peters, J. A., Faccenda, E., Harding, S. D., Pawson, A. J., Sharman, J. L., Southan, C., Davies, J. A., & Collaborators, C.
Affiliations
  • University of Nottingham (GB)
  • Monash University (AU)
  • University of Cambridge (GB)
  • University of Bristol (GB)
  • University of Dundee (GB)
  • University of Edinburgh (GB)
ORCID
Venue
British Journal of Pharmacology
Publisher
Wiley
Published
2017-10-21
Volume
174
Issue
S1
Pages
S17-S129
ISSN
  • 0007-1188 (ISSN-L)
  • 1476-5381
DOI
10.1111/bph.13878
PMC
PMC5650667
OpenAlex
W2765684626
Cited by
588
References
108
Citations by year
2026: 2 · 2025: 12 · 2024: 9 · 2023: 12 · 2022: 21 · 2021: 26 · 2020: 44 · 2019: 206 · 2018: 223 · 2017: 33
FWCI
56.66
Type
journal article
Language
en
Open access
Licence
Locations
  • British Journal of Pharmacology (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Discovery Research Portal (University of Dundee) (publishedVersion, cc-by)
  • Explore Bristol Research (submittedVersion, other-oa)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
  • Apollo (cc-by)
Funders
British Pharmacological Society
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
G protein-coupled receptors, receptor pharmacology, pharmacological tools, ligands, receptor classification
MeSH terms
Animals, Humans, Ligands, Receptors, G-Protein-Coupled, Knowledge Bases, Databases, Pharmaceutical

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