pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support
Jazyk angličtina Země Anglie, Velká Británie Médium print
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
37471591
PubMed Central
PMC10397418
DOI
10.1093/bioinformatics/btad443
PII: 7227070
Knihovny.cz E-zdroje
- MeSH
- ligandy MeSH
- proteiny * MeSH
- software * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- ligandy MeSH
- proteiny * MeSH
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/.
Institute of Computer Science Masaryk University 602 00 Brno Czech Republic
International Clinical Research Center St Anne's University Hospital Brno 656 91 Brno Czech Republic
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