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DoGSiteScorer is an automated pocket detection and analysis tool, which can be used for protein druggability assessment. Calculations are based on size, shape, and chemical features of automatically detected pockets. All these parameters are utilized in a support vector machine for druggability prediction.


  • excellent prediction rates on common benchmark sets
  • unique sub-pocket calculation
  • fully automated
  • customized script-interface for PyMol visualization

We recommend you to read the original publication[1].


DoGSiteScorer may be used free of charge for academic research or evaluation purposes.
It is available for Windows 32bit and Linux 64bit. Note that with the download you accept our terms and conditions*.

Download DoGSiteScorer for your operating system:
Linux 64bit Windows 32bit

Since DoGSiteScorer will not run without a valid license, go ahead with one the following options:

* Terms and conditions:
DoGSiteScorer is a prototype developed by our academic partner at the Center for Bioinformatics (ZBH) of the University of Hamburg.
No support is granted any warranty or liability is hereby expressly excluded. You use DoGSiteScorer at your own risk!
Any publication in reference to DoGSiteScorer must cite the original publication[1].
[1]A. Volkamer, D. Kuhn, T. Grombacher, F. Rippmann, and M. Rarey
Combining global and local measures for structure-based druggability predictions.
J. Chem. Inf. Model. 2012, 52 (2), pp 360-372
[2]A. Volkamer, A. Griewel, T. Grombacher, and M. Rarey
Analyzing the topology of active sites: on the prediction of pockets and subpockets.
J. Chem. Inf. Model., 2010, 50 (11), pp 2041-2052


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