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)
Cited by 592Open Access
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.
Related Papers
No related papers found
Powered by citation graph analysis