Skip to main content

Heuristic pKa calculations with ligands

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

propka-3.5.0.tar.gz (103.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

propka-3.5.0-py3-none-any.whl (98.7 kB view details)

Uploaded Python 3

File details

Details for the file propka-3.5.0.tar.gz.

File metadata

  • Download URL: propka-3.5.0.tar.gz
  • Upload date:
  • Size: 103.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for propka-3.5.0.tar.gz
Algorithm Hash digest
SHA256 0f32bbcafed56e94cc9d3fdb05d9c2faa7485d8a5779aaa79049b9ce0ab052fa
MD5 4496278680048167af2f03cc6e87c269
BLAKE2b-256 7a70d5c6d2900c54cd638798db9cb402444a6013a0c0099c6302aef32051542b

See more details on using hashes here.

File details

Details for the file propka-3.5.0-py3-none-any.whl.

File metadata

  • Download URL: propka-3.5.0-py3-none-any.whl
  • Upload date:
  • Size: 98.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for propka-3.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5ec68ac918f5e3367a4bb74dc28ff340ba223dc0ed7ecab5d209d7b8f6b899cd
MD5 ac7123fb9d44dfdb9c8a5d0c134160dc
BLAKE2b-256 c4e25c096dc02874a217b26d01cecb701278c5fbf847e473f4870a711563eb87

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page