Literature DB >> 17692047

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

Thomas Scior1, Philippe Bernard, José Luis Medina-Franco, Gerald M Maggiora.   

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.

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Year:  2007        PMID： 17692047     DOI： 10.2174/138955707781387858

Source DB:  PubMed          Journal:  Mini Rev Med Chem        ISSN： 1389-5575            Impact factor:   3.862


  10 in total

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  10 in total

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