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IUPHAR-DB


NAR Molecular Biology Database Collection entry number 1240
Harmar, A.J., Hills, R.A., Rosser, E.M., Jones, M., Buneman, O.P., Dunbar, D.R., Greenhill, S.D., Hale, V.A., Sharman, J.L., Bonner, T.I., Catterall, W.A., Davenport, A.P., Delagrange, P., Dollery, C.T., Foord, S.M., Gutman, G.A., Laudet, V., Neubig, R.R., Ohlstein, E.H., Olsen, R.W., Peters, J., Pin, J.-P., Ruffolo, R.R., Searls, D.B., Wright, M.W., and Spedding, M.

Database Description

The IUPHAR database (IUPHAR-DB) integrates peer-reviewed pharmacological, chemical, genetic, functional and anatomical information on the 354 nonsensory G protein-coupled receptors (GPCRs), 71 ligand-gated ion channel subunits and 141 voltage-gated-like ion channel subunits encoded by the human, rat and mouse genomes. These genes represent the targets of approximately one-third of currently approved drugs and are a major focus of drug discovery and development programs in the pharmaceutical industry. IUPHAR-DB provides a comprehensive description of the genes and their functions, with information on protein structure and interactions, ligands, expression patterns, signaling mechanisms, functional assays and biologically important receptor variants (e.g. single-nucleotide polymorphisms and splice variants). In addition, the phenotypes resulting from altered gene expression (e.g. in genetically altered animals or in human genetic disorders) are described. The content of the database is peer reviewed by members of the International Union of Basic and Clinical Pharmacology Committee on Receptor Nomenclature and Drug Classification (NC-IUPHAR); the data are provided through manual curation of the primary literature by a network of over 60 subcommittees of NC-IUPHAR. Links to other bioinformatics resources such as NCBI, Uniprot, HGNC and the rat and mouse genome databases are provided.

Recent Developments

The database now contains over 2000 distinct chemical entities, ranging from synthetic organic chemicals to natural products and peptides. Ligand information includes 2D structures, synonyms and tables of selectivity data at receptors in the database. The database can be easily browsed via lists of receptor families and searched by keyword or accession number

Acknowledgements

We thank the British Pharmacological Society (through their Anniversary Strategic Initiatives Fund), UNESCO (through the ICSU Grants Programme), Incyte, GlaxoSmithKline, Novartis, Servier and Wyeth for financial support

Subcategory: Signalling pathways

Go to the abstract in the NAR 2009 Database Issue.
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