IUPHAR-DB: the IUPHAR database of G protein-coupled receptors and ion channels.
IUPHAR-DB: the IUPHAR database of G protein-coupled receptors and ion channels.
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DOI：
10.1093/nar/gkn728
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发表时间：
2009-01
影响因子：
14.9
通讯作者：
Spedding M
中科院分区：
文献类型：
--
作者：
Harmar AJ;Hills RA;Rosser EM;Jones M;Buneman OP;Dunbar DR;Greenhill SD;Hale VA;Sharman JL;Bonner TI;Catterall WA;Davenport AP;Delagrange P;Dollery CT;Foord SM;Gutman GA;Laudet V;Neubig RR;Ohlstein EH;Olsen RW;Peters J;Pin JP;Ruffolo RR;Searls DB;Wright MW;Spedding M
IUPHAR数据库（IUPHAR- db）整合了354个非感觉G蛋白偶联受体（gpcr）、71个配体门控离子通道亚基和141个电压门控离子通道亚基编码的人类、大鼠和小鼠基因组的药理学、化学、遗传、功能和解剖学信息。这些基因代表了目前批准的药物中大约三分之一的靶标，并且是制药行业药物发现和开发计划的主要焦点。IUPHAR-DB提供了基因及其功能的全面描述，包括蛋白质结构和相互作用、配体、表达模式、信号机制、功能分析和生物学上重要的受体变异（如单核苷酸多态性和剪接变异）的信息。此外，还描述了由基因表达改变引起的表型（例如，在基因改变的动物或人类遗传疾病中）。该数据库的内容由国际基础和临床药理学委员会受体命名和药物分类委员会（NC-IUPHAR）的成员进行同行评审；这些数据是由NC-IUPHAR的60多个小组委员会组成的网络通过对原始文献的手工管理提供的。链接到其他生物信息学资源，如NCBI， Uniprot， HGNC和大鼠和小鼠基因组数据库提供。IUPHAR-DB可在http://www.iuphar-db.org免费获得。
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. IUPHAR-DB is freely available at http://www.iuphar-db.org.
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影响因子：
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作者：
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通讯作者：
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