Caver Web 2.0: analysis of tunnels and ligand transport in dynamic ensembles of proteins

Enzymes with buried active sites utilize molecular tunnels to exchange substrates, products, and solvent molecules with the surface. These transport mechanisms are crucial for protein function and influence various properties. As proteins are inherently dynamic, their tunnels also vary structurally. Understanding these dynamics is essential for elucidating structure-function relationships, drug discovery, and bioengineering. Caver Web 2.0 is a user-friendly web server that retains all Caver Web 1.0 functionalities while introducing key improvements: (i) generation of dynamic ensembles via automated molecular dynamics with YASARA, (ii) analysis of dynamic tunnels with CAVER 3.0, (iii) prediction of ligand trajectories in multiple snapshots with CaverDock 1.2, and (iv) customizable ligand libraries for virtual screening. Users can assess protein flexibility, identify and characterize tunnels, and predict ligand trajectories and energy profiles in both static and dynamic structures. Additionally, the platform supports virtual screening with FDA/EMA-approved drugs and user-defined datasets. Caver Web 2.0 is a versatile tool for biological research, protein engineering, and drug discovery, aiding the identification of strong inhibitors or new substrates to bind to the active sites or tunnels, and supporting drug repurposing efforts. The server is freely accessible at https://loschmidt.chemi.muni.cz/caverweb.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-05-08
DOI
https://doi.org/10.1093/nar/gkaf399
Citations
19
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
28.58

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article

Caver Web 2.0: analysis of tunnels and ligand transport in dynamic ensembles of proteins

David Bednář, Simeon Borko, Petr Kohout, Ondřej Vávra et al.
19 citations
Nucleic Acids Research
Computational Drug Discovery Methods
28.58
article

Caver Web 2.0: analysis of tunnels and ligand transport in dynamic ensembles of proteins

David Bednář, Simeon Borko, Petr Kohout, Ondřej Vávra, Sérgio M. Marques, Jiřı́ Damborský, Lukáš Hejtmánek, Petr Kabourek, Jan Dvorsky
article en
19 citations

Abstract

Enzymes with buried active sites utilize molecular tunnels to exchange substrates, products, and solvent molecules with the surface. These transport mechanisms are crucial for protein function and influence various properties. As proteins are inherently dynamic, their tunnels also vary structurally. Understanding these dynamics is essential for elucidating structure-function relationships, drug discovery, and bioengineering. Caver Web 2.0 is a user-friendly web server that retains all Caver Web 1.0 functionalities while introducing key improvements: (i) generation of dynamic ensembles via automated molecular dynamics with YASARA, (ii) analysis of dynamic tunnels with CAVER 3.0, (iii) prediction of ligand trajectories in multiple snapshots with CaverDock 1.2, and (iv) customizable ligand libraries for virtual screening. Users can assess protein flexibility, identify and characterize tunnels, and predict ligand trajectories and energy profiles in both static and dynamic structures. Additionally, the platform supports virtual screening with FDA/EMA-approved drugs and user-defined datasets. Caver Web 2.0 is a versatile tool for biological research, protein engineering, and drug discovery, aiding the identification of strong inhibitors or new substrates to bind to the active sites or tunnels, and supporting drug repurposing efforts. The server is freely accessible at https://loschmidt.chemi.muni.cz/caverweb.

Nucleic Acids ResearchVol. 53(W1)
Masaryk University (CZ), University Hospital Brno (CZ), St. Anne's University Hospital Brno (CZ), Czech Academy of Sciences, Institute of Computer Science (CZ)
Ministry of Higher Education and Scientific Research, European Commission
Openalex Percentile: Top 0%
Computational Drug Discovery Methods
28.58
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