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SCHOLARLY PUBLICATION ✓ Open Access

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

Andrea Volkamer, Daniel Kühn, Friedrich Rippmann, Matthias Rarey

📖 Bioinformatics → 📅 2012-05-23 🔗 DOI: 10.1093/bioinformatics/bts310
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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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