DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment

Andrea Volkamer(Universität Hamburg), Daniel Kühn(Universität Hamburg), Friedrich Rippmann(Universität Hamburg), Matthias Rarey(Universität Hamburg)
Bioinformatics
May 23, 2012
Cited by 592Open Access
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Abstract

MOTIVATION: Many drug discovery projects fail because the underlying target is finally found to be undruggable. Progress in structure elucidation of proteins now opens up a route to automatic structure-based target assessment. DoGSiteScorer is a newly developed automatic tool combining pocket prediction, characterization and druggability estimation and is now available through a web server. AVAILABILITY: The DoGSiteScorer web server is freely available for academic use at http://dogsite.zbh.uni-hamburg.de CONTACT: rarey@zbh.uni-hamburg.de.


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