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.
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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
The final steps of integrin activation: the end game
Shattil, S. J., Kim, C., & Ginsberg, M. H. (2010) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2871 · Cited by 1,086
Therapeutic targeting of innate immunity with Toll-like receptor agonists and antagonists
Kanzler, H., Barrat, F. J., Hessel, E. M., & Coffman, R. L. (2007) · Nature Medicine · doi:10.1038/nm1589 · Cited by 869
PTPσ Is a Receptor for Chondroitin Sulfate Proteoglycan, an Inhibitor of Neural Regeneration
Shen, Y., Tenney, A. P., Busch, S. A., Horn, K. P., Cuascut, F. X., Liu, K., He, Z., Silver, J., & Flanagan, J. G. (2009) · Science · doi:10.1126/science.1178310 · Cited by 682
Small molecule BDNF mimetics activate TrkB signaling and prevent neuronal degeneration in rodents
Massa, S. M., Yang, T., Xie, Y., Shi, J., Bilgen, M., Joyce, J. N., Nehama, D., Rajadas, J., & Longo, F. M. (2010) · Journal of Clinical Investigation · doi:10.1172/jci41356 · Cited by 406
Cazorla, M., Prémont, J., Mann, A., Girard, N., Kellendonk, C., & Rognan, D. (2011) · Journal of Clinical Investigation · doi:10.1172/jci43992 · Cited by 392
Transmembrane collagen receptors
Leitinger, B. (2011) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-092910-154013 · Cited by 354
Ibáñez, C. F., & Simi, A. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.03.007 · Cited by 238
Integrins as receptor targets for neurological disorders
Wu, X., & Reddy, D. S. (2012) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2011.12.008 · Cited by 175
The Fibroblast Growth Factor Family: Neuromodulation of Affective Behavior
Turner, C. A., Watson, S. J., & Akil, H. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.037 · Cited by 160
Toll-like receptor signaling in the lysosomal pathways
Sanjuan, M. A., Milasta, S., & Green, D. R. (2009) · Immunological Reviews · doi:10.1111/j.1600-065x.2008.00732.x · Cited by 137
Bouyain, S., & Watkins, D. J. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911235107 · Cited by 119
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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
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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
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