title: DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  The DoGSiteScorer web server is freely available for academic use at http://dogsite.zbh.uni-hamburg.de
  
  
  BACKGROUND
  rarey@zbh.uni-hamburg.de.
authors.affiliation: Center for Bioinformatics, University of Hamburg, Bundesstr, Germany.
authors.forename: Andrea
authors.initials: A
authors.lastname: Volkamer
authors.forename: Daniel
authors.initials: D
authors.lastname: Kuhn
authors.forename: Friedrich
authors.initials: F
authors.lastname: Rippmann
authors.forename: Matthias
authors.initials: M
authors.lastname: Rarey
mesh_terms: D001665:Binding Sites; D019295:Computational Biology / Q000379:methods; D055808:Drug Discovery / Q000379:methods*; D020407:Internet; D011506:Proteins / Q000737:chemistry*; D012984:Software; D014584:User-Computer Interface
chemical_list: D011506:Proteins