The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
The Concise Guide to PHARMACOLOGY 2013/14: Catalytic Receptors
Open accessAbstract
The Concise Guide to PHARMACOLOGY 2013/14 provides concise overviews of the key properties of over 2000 human drug targets with their pharmacology, 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. The full contents can be found at http://onlinelibrary.wiley.com/doi/10.1111/bph.12444/full. Catalytic receptors are one of the seven major pharmacological targets into which the Guide is divided, with the others being G protein‐coupled receptors, ligand‐gated ion channels, ion channels, nuclear hormone receptors, transporters and enzymes. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. A new landscape format has easy to use tables comparing related targets. It is a condensed version of material contemporary to late 2013, which is presented in greater detail and constantly updated on the website www.guidetopharmacology.org, superseding data presented in previous Guides to Receptors and Channels. It is produced in conjunction with NC‐IUPHAR and provides the official IUPHAR classification and nomenclature for human drug targets, where appropriate. It consolidates information previously curated and displayed separately in IUPHAR‐DB and the Guide to Receptors and Channels, providing a permanent, citable, point‐in‐time record that will survive database updates.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Toll-like receptor recognizes bacterial DNA
Hemmi, H., Takeuchi, O., Kawai, T., Kaisho, T., Sato, S., Sanjo, H., Matsumoto, M., Hoshino, K., Wagner, H., Takeda, K., et al. (2000) · Nature · doi:10.1038/35047123 · Cited by 6,491
Recognition of double-stranded RNA and activation of NF-κB by Toll-like receptor 3
Alexopoulou, L., Holt, A. C., Medzhitov, R., & Flavell, R. A. (2001) · Nature · doi:10.1038/35099560 · Cited by 6,129
Role of AMP-Activated Protein Kinase in Mechanism of Metformin Action
Zhou, G., Myers, R., Li, Y., Chen, Y., Shen, X., Fenyk-Melody, J., Wu, M., Ventre, J., Doebber, T., Fujii, N., et al. (2001) · Journal of Clinical Investigation · doi:10.1172/jci13505 · Cited by 5,652
Gout-associated uric acid crystals activate the NALP3 inflammasome
Martinon, F., Pétrilli, V., Mayor, A., Tardivel, A., & Tschopp, J. (2006) · Nature · doi:10.1038/nature04516 · Cited by 5,326
Blume-Jensen, P., & Hunter, T. (2001) · Nature · doi:10.1038/35077225 · Cited by 3,738
Signalling pathways of the TNF superfamily: a double-edged sword
Aggarwal, B. B. (2003) · Nature Reviews Immunology · doi:10.1038/nri1184 · Cited by 2,793
The family of five: TIR-domain-containing adaptors in Toll-like receptor signalling
O'Neill, L. A. J., & Bowie, A. G. (2007) · Nature Reviews Immunology · doi:10.1038/nri2079 · Cited by 2,667
Receptor Specificity of the Fibroblast Growth Factor Family
Ornitz, D. M., Xu, J., Colvin, J. S., McEwen, D. G., MacArthur, C. A., Coulier, F., Gao, G., & Goldfarb, M. (1996) · Journal of Biological Chemistry · doi:10.1074/jbc.271.25.15292 · Cited by 1,871
Peptidoglycan- and Lipoteichoic Acid-induced Cell Activation Is Mediated by Toll-like Receptor 2
Schwandner, R., Dziarski, R., Wesche, H., Rothe, M., & Kirschning, C. J. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.25.17406 · Cited by 1,704
Targeting IL-17 and TH17 cells in chronic inflammation
Miossec, P., & Kolls, J. K. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3794 · Cited by 1,414
Cited by
Microglial M1/M2 polarization and metabolic states
Orihuela, R., McPherson, C. A., & Harry, G. J. (2016) · British Journal of Pharmacology · doi:10.1111/bph.13139 · Cited by 2,070
Dopamine receptors –IUPHAR R eview 13
Beaulieu, J., Espinoza, S., & Gainetdinov, R. R. (2015) · British Journal of Pharmacology · doi:10.1111/bph.12906 · Cited by 521
Ten things you should know about protein kinases: IUPHAR R eview 14
Fabbro, D., Cowan‐Jacob, S. W., & Moebitz, H. (2015) · British Journal of Pharmacology · doi:10.1111/bph.13096 · Cited by 347
Zhu, G., Li, J., He, L., Wang, X., & Hong, X. (2015) · British Journal of Pharmacology · doi:10.1111/bph.13061 · Cited by 118
Clark, I. A., & Vissel, B. (2015) · British Journal of Pharmacology · doi:10.1111/bph.13181 · Cited by 84
Metadata
- Authors
- Alexander, S. P. H., Benson, H. E., Faccenda, E., Pawson, A. J., Sharman, J. L., Spedding, M., Peters, J. A., Harmar, A. J., & Collaborators, C.
- Venue
- British Journal of Pharmacology
- Publisher
- Wiley
- Published
- 2013-12
- Volume
- 170
- Issue
- 8
- Pages
- 1676-1705
- ISSN
- 0007-1188 (ISSN-L)
- 1476-5381
- OpenAlex
- W1905245397
- Cited by
- 221
- References
- 21
- FWCI
- 18.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Concise Guide to PHARMACOLOGY 2013/14: Catalytic Receptors. https://app.cochat.ai/papers/10.1111/bph.12449
- The paper
- Alexander, S. P. H., Benson, H. E., Faccenda, E., Pawson, A. J., Sharman, J. L., Spedding, M., Peters, J. A., Harmar, A. J., & Collaborators, C. (2013). The Concise Guide to PHARMACOLOGY 2013/14: Catalytic Receptors. British Journal of Pharmacology. https://doi.org/10.1111/bph.12449
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.