Published May 30, 2025 | Version v1
Journal article Open

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

  • 1. Loschmidt Laboratories; Brno from 2013
  • 2. ROR icon RECETOX
  • 3. ROR icon International Clinical Research Center, St. Anne's University Hospital Brno
  • 4. Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic
  • 5. ROR icon Masaryk University
  • 6. ROR icon Czech Education and Scientific Network
  • 7. ROR icon Enantis (Czechia)

Description

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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Additional details

Funding

European Commission
CETOCOEN Excellence - CETOCOEN Excellence 857560
European Commission
CLARA - Center for Artificial Intelligence and Quantum Computing in System Brain Research 101136607

Dates

Other
2025-05-08
Published