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pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support
SUMMARY: Access pathways in enzymes are crucial for the passage of substrates and products of catalysed reactions. The process can be studied by computational means with variable degrees of precision. Our in-house approximative method CaverDock provides a fast and easy way to set up and run ligand b...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397418/ https://www.ncbi.nlm.nih.gov/pubmed/37471591 http://dx.doi.org/10.1093/bioinformatics/btad443 |
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author | Vavra, Ondrej Beranek, Jakub Stourac, Jan Surkovsky, Martin Filipovic, Jiri Damborsky, Jiri Martinovic, Jan Bednar, David |
author_facet | Vavra, Ondrej Beranek, Jakub Stourac, Jan Surkovsky, Martin Filipovic, Jiri Damborsky, Jiri Martinovic, Jan Bednar, David |
author_sort | Vavra, Ondrej |
collection | PubMed |
description | SUMMARY: Access pathways in enzymes are crucial for the passage of substrates and products of catalysed reactions. The process can be studied by computational means with variable degrees of precision. Our in-house approximative method CaverDock provides a fast and easy way to set up and run ligand binding and unbinding calculations through protein tunnels and channels. Here we introduce pyCaverDock, a Python3 API designed to improve user experience with the tool and further facilitate the ligand transport analyses. The API enables users to simplify the steps needed to use CaverDock, from automatizing setup processes to designing screening pipelines. AVAILABILITY AND IMPLEMENTATION: pyCaverDock API is implemented in Python 3 and is freely available with detailed documentation and practical examples at https://loschmidt.chemi.muni.cz/caverdock/. |
format | Online Article Text |
id | pubmed-10397418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103974182023-08-04 pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support Vavra, Ondrej Beranek, Jakub Stourac, Jan Surkovsky, Martin Filipovic, Jiri Damborsky, Jiri Martinovic, Jan Bednar, David Bioinformatics Applications Note SUMMARY: Access pathways in enzymes are crucial for the passage of substrates and products of catalysed reactions. The process can be studied by computational means with variable degrees of precision. Our in-house approximative method CaverDock provides a fast and easy way to set up and run ligand binding and unbinding calculations through protein tunnels and channels. Here we introduce pyCaverDock, a Python3 API designed to improve user experience with the tool and further facilitate the ligand transport analyses. The API enables users to simplify the steps needed to use CaverDock, from automatizing setup processes to designing screening pipelines. AVAILABILITY AND IMPLEMENTATION: pyCaverDock API is implemented in Python 3 and is freely available with detailed documentation and practical examples at https://loschmidt.chemi.muni.cz/caverdock/. Oxford University Press 2023-07-20 /pmc/articles/PMC10397418/ /pubmed/37471591 http://dx.doi.org/10.1093/bioinformatics/btad443 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Vavra, Ondrej Beranek, Jakub Stourac, Jan Surkovsky, Martin Filipovic, Jiri Damborsky, Jiri Martinovic, Jan Bednar, David pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support |
title | pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support |
title_full | pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support |
title_fullStr | pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support |
title_full_unstemmed | pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support |
title_short | pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support |
title_sort | pycaverdock: python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397418/ https://www.ncbi.nlm.nih.gov/pubmed/37471591 http://dx.doi.org/10.1093/bioinformatics/btad443 |
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