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Nucleic Acids Research 2006 34(Database Issue):D673-D677; doi:10.1093/nar/gkj028
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Nucleic Acids Research, 2006, Vol. 34, Database issue D673-D677
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

Article

GLIDA: GPCR-ligand database for chemical genomic drug discovery

Yasushi Okuno*, Jiyoon Yang, Kei Taneishi, Hiroaki Yabuuchi and Gozoh Tsujimoto

Department of Genomic Drug Discovery Science, Graduate School of Pharmaceutical Sciences, Kyoto University 46-29 Yoshida-Shimo-Adachi-cho, Sakyo-ku, Kyoto 606-8501, Japan

*To whom correspondence should be addressed. Tel: +81 75 753 9264; Fax: +81 75 753 4544; Email: okuno{at}pharm.kyoto-u.ac.jp

Received August 15, 2005. Revised September 22, 2005. Accepted September 22, 2005.

G-protein coupled receptors (GPCRs) represent one of the most important families of drug targets in pharmaceutical development. GPCR-LIgand DAtabase (GLIDA) is a novel public GPCR-related chemical genomic database that is primarily focused on the correlation of information between GPCRs and their ligands. It provides correlation data between GPCRs and their ligands, along with chemical information on the ligands, as well as access information to the various web databases regarding GPCRs. These data are connected with each other in a relational database, allowing users in the field of GPCR-related drug discovery to easily retrieve such information from either biological or chemical starting points. GLIDA includes structure 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 interactions and improve drug design efforts by focusing on inferred candidates for GPCR-specific drugs. GLIDA is publicly available at http://gdds.pharm.kyoto-u.ac.jp:8081/glida. We hope that it will prove very useful for chemical genomic research and GPCR-related drug discovery.


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