Universität Hamburg - der Forschung, der Lehre, der Bildung, zur Homepage
German Network for Bioinformatics Infrastructure, zur Homepage
ZBH - Zentrum für Bioinformatik Hamburg, zur Homepage

1. Target definition

All tools in the ProteinsPlus server work on a structure of a protein or a nucleic acid. In the first step, you need to define this structure either by selecting a structure form the Protein Data Bank (PDB) via its PDB code (e.g. 2ozr) or upload any other structure in PDB format. Additional ligand molecules can be provided in SDF format.

Click on image to jump to that page.

...

2. Tool selection

Afterwards you can select the tool you are interested in. You can choose DoGSiteScorer either by selecting it from the drop-down menu or by following the link under the respective tool description.

Click on image to jump to that page.

...

3. Start Calculation

Just press the “Calculate” button for running DoGSiteScorer with default settings. For further information on additional settings, see the mouseover info buttons next to each string.

Click on image to jump to that page.

...

4. Results

A DoGSiteScorer calculation results in a list of potential pocket of the given structure and additional information on pocket characteristics listed in a result table. Each row represents a certain pocket and its features. A pocket can be visualized in the NGL viewer by clicking the red cross in the pocket selection area. Click the “-” sign to hide the pocket again. All information can be additionally downloaded via the download button.

Click on image to jump to that page.

...

Publications

For additional information on DoGSiteScorer, please refer to the corresponding publications:
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. J. Chem. Inf. Model., 52(2):360-372.

Previous Next Go to Server Go back to Help
Main

What's new

Tutorial

About

Feedback

Test data

Legal notice

Privacy policy