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Autore principale: Polishchuk, Pavel
Natura: Recurso digital
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Pubblicazione: Zenodo 2025
Accesso online:https://doi.org/10.5281/zenodo.17506578
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author Polishchuk, Pavel
author_facet Polishchuk, Pavel
contents <p>This is an apptainer image to predict protonation states of small molecules be means of Uni-pKa. It was developed to integrate Uni-pKa model into the autiomated docking pipeline provided by <a href="https://github.com/ci-lab-cz/easydock" target="_blank" rel="noopener">EasyDock</a>.</p> <p>To run predictions outside of EasyDock you may use the command</p> <p><code>apptainer run unipka.sif protonate -i input.smi -o output.smi</code></p> <p>It may be necessaru to mount directories where input and output files are located. Use argument <code>-B /path/to/dir</code></p> <p>The script will use GPU if it will be detected in a system.</p> <p>To make prediction for different pH, change the argument <code>--pH</code></p> <p><code>apptainer run unipka.sif protonate -i input.smi -o output.smi --pH 8</code></p> <p> </p>
format Recurso digital
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institution Zenodo
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publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Uni-pKa protonation container
Polishchuk, Pavel
<p>This is an apptainer image to predict protonation states of small molecules be means of Uni-pKa. It was developed to integrate Uni-pKa model into the autiomated docking pipeline provided by <a href="https://github.com/ci-lab-cz/easydock" target="_blank" rel="noopener">EasyDock</a>.</p> <p>To run predictions outside of EasyDock you may use the command</p> <p><code>apptainer run unipka.sif protonate -i input.smi -o output.smi</code></p> <p>It may be necessaru to mount directories where input and output files are located. Use argument <code>-B /path/to/dir</code></p> <p>The script will use GPU if it will be detected in a system.</p> <p>To make prediction for different pH, change the argument <code>--pH</code></p> <p><code>apptainer run unipka.sif protonate -i input.smi -o output.smi --pH 8</code></p> <p> </p>
title Uni-pKa protonation container
url https://doi.org/10.5281/zenodo.17506578