Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://pharminfo.pharm.kyoto-u.ac.jp/services/glida/
Full name: GPCR-Ligand Database
Description: GLIDA is a database we have developed for those who work in the field of GPCRs-related drug discovery and need information on both GPCRs and their known ligands
Year founded: 2006
Last update: 2010-10-10
Version: v2.04
Accessibility:
Manual:
Accessible
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Country/Region: Japan

Classification & Tag

Data type:
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Contact information

University/Institution: Kyoto University
Address: 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
City: Kyoto
Province/State: Kyoto
Country/Region: Japan
Contact name (PI/Team): Yasushi Okuno
Contact email (PI/Helpdesk): okuno@pharm.kyoto-u.ac.jp

Publications

17986454
GLIDA: GPCR--ligand database for chemical genomics drug discovery--database and tools update. [PMID: 17986454]
Okuno Y, Tamon A, Yabuuchi H, Niijima S, Minowa Y, Tonomura K, Kunimoto R, Feng C.

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.

Nucleic Acids Res. 2008:36(Database issue) | 53 Citations (from Europe PMC, 2024-04-20)
16381956
GLIDA: GPCR-ligand database for chemical genomic drug discovery. [PMID: 16381956]
Okuno Y, Yang J, Taneishi K, Yabuuchi H, Tsujimoto G.

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.

Nucleic Acids Res. 2006:34(Database issue) | 30 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
1829/6000 (69.533%)
Health and medicine:
420/1394 (69.943%)
Interaction:
328/982 (66.701%)
1829
Total Rank
83
Citations
4.611
z-index

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Record metadata

Created on: 2015-07-28
Curated by:
Fatima Batool [2018-09-04]
Lin Liu [2016-03-29]
Lin Liu [2016-03-26]
Jian Sang [2015-12-05]