P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
Maintenance release with numerous small improvements and bug fixes.
Main changes:
distro/prank
and distro/prank.bat
) no longer redirect log (stderr stream) to the file distro/log/prank.log
. Instead, they write stderr to the console. This was done to avoid P2Rank writing to the installation directory by default, which may be forbidden on some systems. See issue #59. (thanks to @lilleswing)If you are already using P2Rank see the list of breaking changes.
This version contains the same prediction models as version 2.4 .
General-purpose release bringing mmCIF support and new prediction models.
Main changes:
.cif
) fromat support-c alphafold
)conservation_hmm
for upcoming web version: https://p2rank.cz/ using a new sequence conservation pipelineIf you are already using P2Rank see the list of breaking changes.
Technical release. Contains new prediction model conservation_hmm for upcoming web version: https://p2rank.cz/ using new sequence conservation pipeline.
Maintenance release that contains numerous small improvements and bug fixes.
Main changes:
If you are already using P2Rank see the list of breaking changes.
This version contains the same default prediction model as the version described in the JChem article.
This is a maintenance release that contains numerous small improvements and bug fixes.
Main changes:
*_predictions.csv
If you are already using P2Rank see the list of breaking changes.
This version contains the same default prediction model as the version described in the JChem article.
Changelog:
*_residues.csv
file with scores and pocket assignments for all protein residues.This version contains the same default prediction model as the version described in the JChem article.
Bugfix release. Changes:
Final 2.0 release.
Contains the same prediction model as the version described in JChem article with many bugfixes and performance optimizations.
Development release.
New features:
*_residues.csv
file with scores and pocket assignments of individual residues.Contains the same prediction model as the version described in JChem article with many bugfixes and performance optimizations.
Further changes: