Přehled o publikaci
2022
Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web
MUSIL, Miloš; Andrej JEŽÍK; Marie HAMŠÍKOVÁ; Jan ŠTOURAČ; Jakub GALGONEK et al.Basic information
Original name
Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web
Authors
MUSIL, Miloš; Andrej JEŽÍK; Marie HAMŠÍKOVÁ; Jan ŠTOURAČ; Jakub GALGONEK; Saltuk Mustafa EYRILMEZ; Jiri VONDRASEK; Jiří DAMBORSKÝ and David BEDNÁŘ
Edition
Computational and Structural Biotechnology Journal, Amsterdam, Elsevier, 2022, 2001-0370
Other information
Language
English
Type of outcome
Article in a journal
Country of publisher
Netherlands
Confidentiality degree
is not subject to a state or trade secret
References:
Marked to be transferred to RIV
Yes
RIV identification code
RIV/00216224:14310/22:00127528
Organization
Přírodovědecká fakulta – Repository – Repository
UT WoS
EID Scopus
Keywords in English
Caver; CaverDock; FDA-approved drug; Channel; Tunnel; Virtual screening; Web
Links
EF17_043/0009632, research and development project. GJ20-15915Y, research and development project. LM2018140, research and development project. LX22NPO5102, research and development project. 814418, interní kód Repo. 857560, interní kód Repo. ELIXIR-CZ II, large research infrastructures.
Changed: 5/3/2026 00:50, RNDr. Daniel Jakubík
Abstract
In the original language
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.