PROPKA 3.2

PROPKA predicts the pKa values of ionizable groups in proteins (version 3.0) and protein-ligand complexes (version 3.2 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. doi:10.1021/ct200133y

• 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. doi:10.1021/ct100578z

Requirements

PROPKA 3.2 requires Python 3.5 or higher. Additional requirements are specified in the requirements.txt file and automatically satisfied when installing with pip.

Installation

PIP-based installation

The easiest way to install PROPKA is via the PyPI archive with the command

pip install propka

As always, a virtual environment (e.g., via virtualenv) is recommended when installing packages.

For the purposes of testing or development, you may prefer to install PROPKA as an editable module via PIP by running

pip install -e .

Source-based installation

The source code can be installed by cloning the repository or unpacking from a source code archive and running

pip install .

in the source directory.

Installation is also possible with setuptools which offers additional customization options; e.g.

python setup.py install --user

will install the propka32 script in your executable directory, as configured for setuptools, for instance ~/.local/bin while

python setup.py install --user --install-scripts ~/bin

will install the script in the bin subdirectory of your home directory.

Getting started

PROPKA can be used either as a module or via the installed script; i.e., either

propka32

or

python -m propka

works for invoking PROPKA.

A brief list of available options can be obtained by running PROPKA with no options:

propka32

A longer list of options and descriptions is available using the --help option:

propka32 --help

Most users run PROPKA by invoking the program with a PDB file as its argument; e.g.,

propka32 1hpx.pdb

Testing (for developers)

Please see tests/README.md for testing instructions. Please run these tests after making changes to the code and before pushing commits.

References / Citations

Please cite these references 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.