GLIDA: GPCR--ligand database for chemical genomics drug discovery--database and tools update.

  • Okuno Y
  • Tamon A
  • Yabuuchi H
 et al. 
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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 We hope that it will prove very useful for Chemical Genomics research and GPCR-related drug discovery.

Author-supplied keywords

  • Animals
  • Computational Biology
  • Databases, Protein
  • Drug Design
  • Genomics
  • Humans
  • Internet
  • Ligands
  • Mice
  • Pharmaceutical Preparations
  • Pharmaceutical Preparations: chemistry
  • Protein Binding
  • Rats
  • Receptors, G-Protein-Coupled
  • Receptors, G-Protein-Coupled: agonists
  • Receptors, G-Protein-Coupled: antagonists & inhibi
  • Receptors, G-Protein-Coupled: chemistry
  • Sequence Alignment
  • Sequence Analysis, Protein
  • Software
  • User-Computer Interface

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  • Yasushi Okuno

  • Akiko Tamon

  • Hiroaki Yabuuchi

  • Satoshi Niijima

  • Yohsuke Minowa

  • Koichiro Tonomura

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