CaverDock
CaverDock models ligand transport through protein tunnels and channels to analyze ligand binding and unbinding energetics and trajectories.
Key Features:
- Ligand transport modeling: Models the movement of ligands through protein tunnels and channels that connect external and internal biomolecular environments.
- AutoDock Vina–derived docking: Uses an optimized docking algorithm derived from AutoDock Vina for precise ligand placement within protein structures.
- Parallel heuristic trajectory search: Employs a parallel heuristic algorithm to explore possible contiguous ligand trajectories through protein access tunnels.
- Contiguous and energetically favorable transit: Ensures ligand movement is contiguous and evaluates energetics to favor physically plausible transitions.
- Energetic profiling: Produces detailed trajectories and energy profiles along the transport pathway to quantify per-step energetics.
- Hybrid approach: Integrates chemical force evaluation with geometrical tunnel analysis, positioning the method between geometrical approaches and molecular dynamics simulations.
- Computational efficiency: Offers a computationally efficient alternative to full-scale molecular dynamics simulations.
- Validation and robustness testing: Validated by comparisons with other tools and tested across large ligand ensembles and engineered tunnel structures.
Scientific Applications:
- Computational enzymology: Analyzes ligand binding, unbinding, and transport processes in enzymes.
- Protein engineering: Assesses the impact of engineered tunnel structures on ligand transit and accessibility.
- Drug design: Evaluates ligand access pathways and energetic barriers relevant to small-molecule binding.
- Benchmarking and method comparison: Serves in validating and comparing transport predictions against other computational tools.
Methodology:
CaverDock applies an optimized docking algorithm derived from AutoDock Vina together with a parallel heuristic algorithm to explore contiguous ligand trajectories through access tunnels, evaluates chemical forces during transit, and outputs detailed trajectories and energy profiles, using an approach between geometrical tunnel analysis and molecular dynamics.
Topics
Collections
Details
- License:
- Proprietary
- Maturity:
- Mature
- Cost:
- Free of charge (with restrictions)
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++, Python
- Added:
- 4/6/2018
- Last Updated:
- 11/24/2024
Operations
Publications
Vavra O, Filipovic J, Plhak J, Bednar D, Marques SM, Brezovsky J, Stourac J, Matyska L, Damborsky J. CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels. Bioinformatics. 2019;35(23):4986-4993. doi:10.1093/bioinformatics/btz386. PMID:31077297.
Filipovic J, Vavra O, Plhak J, Bednar D, Marques SM, Brezovsky J, Matyska L, Damborsky J. CaverDock: A Novel Method for the Fast Analysis of Ligand Transport. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2020;17(5):1625-1638. doi:10.1109/tcbb.2019.2907492. PMID:30932844.
Documentation
Downloads
- BinariesVersion: 1.0https://www.fi.muni.cz/~xfilipov/caverdock/caverdock-ubuntu-14.04.tar.gzv1.0, Ubuntu 14.04
- BinariesVersion: 1.0https://www.fi.muni.cz/~xfilipov/caverdock/caverdock-ubuntu-16.04.tar.gzv1.0, Ubuntu 16.04
- BinariesVersion: 1.1https://www.fi.muni.cz/~xfilipov/caverdock/caverdock-1.1-ubuntu-16.04.tar.xzv1.1, Ubuntu 16.04
- BinariesVersion: 1.1https://www.fi.muni.cz/~xfilipov/caverdock/caverdock-1.1-ubuntu-18.04.tar.xzv1.1, Ubuntu 18.04