PLIP is based on a python command-line application. In case you plan local mass/batch processings, you may want to use this one directly. The source code can be found on .
Biotechnology Center TU Dresden (BIOTEC) [homepage]
Michael Schroeder group [homepage]
If you have any questions or recommendations please contact Sebastian Salentin.
If you are using PLIP in your work, please cite:
Salentin,S. et al. PLIP: fully automated protein-ligand interaction profiler. Nucl. Acids Res. (1 July 2015) 43 (W1): W443-W447. doi: 10.1093/nar/gkv315
The Protein-Ligand Interaction Profiler (PLIP) is provided to the research community in good faith without guarantees of any kind.
Since September 2015, the PLIP web service uses the BioLiP database to mark ligands as biologically relevant. For more information see the Help page or
Jianyi Yang, Ambrish Roy, and Yang Zhang. BioLiP: a semi-manually curated database for biologically relevant ligand-protein interactions, Nucleic Acids Research, 41: D1096-D1103 (2013).
Data submitted by you will only be used to run the PLIP analysis. This data and the results of the analysis will be available on the result page for 30 days.
Data on email addresses is stored if you provide this information in the submission form. We may use this data to send you service-related information.
Please note that this site uses Google Analytics to process personal data with anonymized IP addresses. The PLIP website has been optimized for usage with Chrome, Internet Explorer 8-11, Safari, Firefox and Opera. For these browsers, you have the option to deactivate tracking with Google Analytics using a browser add-on provided by Google. You can download the add-on from here. To be functional, it needs to be installed and correctly loaded in the browser. On Internet Explorer, you will also need to deactivate third-party cookies.
Imprint information can be found here.