Large compound databases for structure-activity relationships studies in drug discovery

Mini Rev Med Chem. 2007 Aug;7(8):851-60. doi: 10.2174/138955707781387858.

Abstract

Large libraries of chemical compounds reflect the exponentially growing data-enrichment in drug discovery that trends towards fully automated informatics solutions to study structure - activity relationships by screening docked ligand candidates to biological target structures. We review otherwise disseminated user descriptions of mainly public databases with free access and also our integrated data mining tool GPDBnet for phyto-pharmacology.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Databases, Factual*
  • Drug Design*
  • Information Storage and Retrieval
  • Pharmaceutical Preparations / chemistry*
  • Structure-Activity Relationship

Substances

  • Pharmaceutical Preparations