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

Andrea Volkamer | Zendy; Daniel Kühn | Zendy; Friedrich Rippmann | Zendy; Matthias Rarey | Zendy

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

Author(s) -

Andrea Volkamer,

Daniel Kühn,

Friedrich Rippmann,

Matthias Rarey

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts310

Subject(s) - druggability , web server , computer science , web site , drug discovery , data mining , world wide web , computational biology , bioinformatics , the internet , biology , genetics , gene

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.

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