DogSiteScorer is an automated pocket detection and analysis tool which can be used for protein assessment. Predictions with DoGSiteScorer are based on calculated size, shape and chemical features of automatically predicted pockets, incorporated into a support vector machine for druggability estimation.
Note that the DoGSiteServer is no longer runing. The functionality is available as part of our new ProteinsPlus Server.
Volkamer, A., Griewel, A., Grombacher, T., Rarey, M. (2010). Analyzing the Topology of Active Sites: On the Prediction of Pockets and Sub-pockets. Journal of Chemical Information and Modeling, 50(11):2041-2052.
Volkamer, A., Kuhn, D., Grombacher, T., Rippmann, F., Rarey, M. (2012). Combining Global and Local Measures for Structure-Based Druggability Predictions. Journal of Chemical Information and Modeling, 52(2):360-372.
Volkamer, A., Kuhn, D., Rippmann, F., Rarey, M. (2012). DoGSiteScorer: A web-server for automatic binding site prediction, analysis, and druggability assessment. Bioinformatics, 28(15):2074–2075.