Nucleic Acids Research Advance Access originally published online on November 5, 2007
Nucleic Acids Research 2008 36(Database issue):D907-D912; doi:10.1093/nar/gkm948
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Nucleic Acids Research, 2008, Vol. 36, Database issue D907-D912
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]
Articles |
GLIDA: GPCR—ligand database for chemical genomics drug discovery—database and tools update
1Department of PharmacoInformatics, Center for Integrative Education of Pharmacy Frontier, Graduate School of Pharmaceutical Sciences, Kyoto University and 2Bio Science Group, IT Solution Div.1, Industry Solution Business Unit, Mitsui Knowledge Industry, Osaka city, Japan
*To whom correspondence should be addressed. Tel: +81 75 753 4559; Fax: +81 75 753 4544; Email: okuno{at}pharm.kyoto-u.ac.jp
Received September 6, 2007. Revised October 14, 2007. Accepted October 15, 2007.
G-protein coupled receptors (GPCRs) represent one of the most important families of drug targets in pharmaceutical development. GLIDA is a public GPCR-related Chemical Genomics database that is primarily focused on the integration of information between GPCRs and their ligands. It provides interaction data between GPCRs and their ligands, along with chemical information on the ligands, as well as biological information regarding GPCRs. These data are connected with each other in a relational database, allowing users in the field of Chemical Genomics research to easily retrieve such information from either biological or chemical starting points. GLIDA includes a variety of similarity search functions for the GPCRs and for their ligands. Thus, GLIDA can provide correlation maps linking the searched homologous GPCRs (or ligands) with their ligands (or GPCRs). By analyzing the correlation patterns between GPCRs and ligands, we can gain more detailed knowledge about their conserved molecular recognition patterns and improve drug design efforts by focusing on inferred candidates for GPCR-specific drugs. This article provides a summary of the GLIDA database and user facilities, and describes recent improvements to database design, data contents, ligand classification programs, similarity search options and graphical interfaces. GLIDA is publicly available at http://pharminfo.pharm.kyoto-u.ac.jp/services/glida/. We hope that it will prove very useful for Chemical Genomics research and GPCR-related drug discovery.
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