propka


Namepropka JSON
Version 3.5.1 PyPI version JSON
download
home_pagehttp://propka.org
SummaryHeuristic pKa calculations with ligands
upload_time2024-01-02 02:35:18
maintainerNathan Baker
docs_urlNone
authorJan H. Jensen
requires_python>=3.8
licenseLGPL v2.1
keywords science
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
PROPKA predicts the pKa values of ionizable groups in proteins (version 3.0) and
protein-ligand complexes (version 3.1 and later) based on the 3D structure.

For proteins without ligands both version should produce the same result.

The method is described in the following papers, which you should cite
in publications:

* Sondergaard, Chresten R., Mats HM Olsson, Michal Rostkowski, and Jan
  H. Jensen. "Improved Treatment of Ligands and Coupling Effects in
  Empirical Calculation and Rationalization of pKa Values." Journal of
  Chemical Theory and Computation 7, no. 7 (2011): 2284-2295.

* Olsson, Mats HM, Chresten R. Sondergaard, Michal Rostkowski, and Jan
  H. Jensen. "PROPKA3: consistent treatment of internal and surface
  residues in empirical pKa predictions." Journal of Chemical Theory
  and Computation 7, no. 2 (2011): 525-537.

See http://propka.org/ for the PROPKA web server.

            

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