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Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web
Protein tunnels are essential in transporting small molecules into the active sites of enzymes. Tunnels' geometrical and physico-chemical properties influence the transport process. The tunnels are attractive hot spots for protein engineering and drug development. However, studying the ligand b...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705369/ https://www.ncbi.nlm.nih.gov/pubmed/36467577 http://dx.doi.org/10.1016/j.csbj.2022.11.031 |
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author | Musil, Milos Jezik, Andrej Jankujova, Marie Stourac, Jan Galgonek, Jakub Mustafa Eyrilmez, Saltuk Vondrasek, Jiri Damborsky, Jiri Bednar, David |
author_facet | Musil, Milos Jezik, Andrej Jankujova, Marie Stourac, Jan Galgonek, Jakub Mustafa Eyrilmez, Saltuk Vondrasek, Jiri Damborsky, Jiri Bednar, David |
author_sort | Musil, Milos |
collection | PubMed |
description | Protein tunnels are essential in transporting small molecules into the active sites of enzymes. Tunnels' geometrical and physico-chemical properties influence the transport process. The tunnels are attractive hot spots for protein engineering and drug development. However, studying the ligand binding and unbinding using experimental techniques is challenging, while in silico methods come with their limitations, especially in the case of resource-demanding virtual screening pipelines. Caver Web 1.2 is a new version of the web server combining the capabilities for the detection of protein tunnels with the calculation of the ligand trajectories. The new version of the Caver Web server was expanded with the ability to fetch novel ligands from the Integrated Database of Small Molecules and with the fully automated virtual screening pipeline allowing for the fast evaluation of the predefined set of over 4,300 currently approved drugs. The virtual screening pipeline is accompanied by a comprehensive user interface, making it a viable service for the broader spectrum of companies and the academic user community. The web server is freely available for academic use at https://loschmidt.chemi.muni.cz/caverweb. |
format | Online Article Text |
id | pubmed-9705369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-97053692022-12-02 Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web Musil, Milos Jezik, Andrej Jankujova, Marie Stourac, Jan Galgonek, Jakub Mustafa Eyrilmez, Saltuk Vondrasek, Jiri Damborsky, Jiri Bednar, David Comput Struct Biotechnol J Research Article Protein tunnels are essential in transporting small molecules into the active sites of enzymes. Tunnels' geometrical and physico-chemical properties influence the transport process. The tunnels are attractive hot spots for protein engineering and drug development. However, studying the ligand binding and unbinding using experimental techniques is challenging, while in silico methods come with their limitations, especially in the case of resource-demanding virtual screening pipelines. Caver Web 1.2 is a new version of the web server combining the capabilities for the detection of protein tunnels with the calculation of the ligand trajectories. The new version of the Caver Web server was expanded with the ability to fetch novel ligands from the Integrated Database of Small Molecules and with the fully automated virtual screening pipeline allowing for the fast evaluation of the predefined set of over 4,300 currently approved drugs. The virtual screening pipeline is accompanied by a comprehensive user interface, making it a viable service for the broader spectrum of companies and the academic user community. The web server is freely available for academic use at https://loschmidt.chemi.muni.cz/caverweb. Research Network of Computational and Structural Biotechnology 2022-11-17 /pmc/articles/PMC9705369/ /pubmed/36467577 http://dx.doi.org/10.1016/j.csbj.2022.11.031 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Musil, Milos Jezik, Andrej Jankujova, Marie Stourac, Jan Galgonek, Jakub Mustafa Eyrilmez, Saltuk Vondrasek, Jiri Damborsky, Jiri Bednar, David Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web |
title | Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web |
title_full | Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web |
title_fullStr | Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web |
title_full_unstemmed | Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web |
title_short | Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web |
title_sort | fully automated virtual screening pipeline of fda-approved drugs using caver web |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705369/ https://www.ncbi.nlm.nih.gov/pubmed/36467577 http://dx.doi.org/10.1016/j.csbj.2022.11.031 |
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