What SwissDock Does Well
SwissDock was developed by the Molecular Modeling Group at the Swiss Institute of Bioinformatics (SIB) and provides a free, user-friendly web interface for molecular docking. It uses the EADock DSS (Dihedral Space Sampling) algorithm combined with AutoDock Vina scoring for automated docking predictions.
SwissDock's strength is its simplicity and speed. The platform automates protein preparation, binding site detection, and result visualisation, requiring no installation or command-line expertise. Results are returned via email with interactive 3D visualisations and downloadable structure files.
- Zero installation — entirely web-based, works on any device
- Automated preparation — protein and ligand preparation handled automatically
- Fast results — minutes to hours depending on complexity
- Free for academics — no cost for non-commercial research
- Integrated visualisation — built-in 3D viewer for pose analysis
What Haddock Does Well
Haddock (High Ambiguity Driven DOCKing) was developed by Alexandre Bonvin and colleagues at Utrecht University. Unlike SwissDock's fully automated approach, Haddock uses experimental or predicted restraints to guide the docking process, making it more accurate when structural information is available.
Haddock's strength is its information-driven approach. By incorporating data from NMR, site-directed mutagenesis, cross-linking, or bioinformatics predictions, Haddock constrains the search space and produces more accurate docking models. It supports protein-protein, protein-ligand, and protein-nucleic acid docking.
- Experimental restraints — NMR, mutagenesis, cross-linking data guide docking
- High accuracy — information-driven approach outperforms blind docking
- Multiple interaction types — protein-protein, protein-ligand, protein-nucleic acid
- Flexible refinement — rigid-body docking followed by flexible refinement
- CAPRI participation — validated in community-wide docking challenges
Speed Comparison
SwissDock is significantly faster than Haddock for blind docking. SwissDock's automated approach completes in minutes to hours, while Haddock's information-driven refinement with flexible scoring takes hours to days depending on the number of restraints and refinement cycles.
| Task | SwissDock | Haddock |
|---|---|---|
| Single protein-ligand (blind) | 10-30 minutes | 2-6 hours |
| Protein-protein (blind) | 30-60 minutes | 4-12 hours |
| With experimental restraints | N/A | 1-3 days |
| Flexible refinement | Not available | 2-8 hours (included) |
SwissDock is the better choice when speed matters and you do not have experimental restraints. Haddock's longer runtime is justified when accuracy matters more than speed.
Accuracy and Approach
Accuracy depends heavily on whether you have experimental data. For blind docking (no restraints), both tools produce similar quality results, though Haddock's scoring function is generally considered more physically realistic. When experimental restraints are available, Haddock dramatically outperforms SwissDock.
Haddock's information-driven approach uses active and passive residues, ambiguous interaction restraints (AIRs), and surface accessibility data to constrain the search space. This reduces false positives and improves the ranking of correct binding modes.
When to Use SwissDock
- Quick initial screening — fast assessment of binding potential
- No experimental data — blind docking without restraints
- Beginners — simple interface, no installation
- Teaching — demonstrating docking concepts to students
- Preliminary studies — before committing to more expensive experiments
When to Use Haddock
- With experimental data — NMR, mutagenesis, cross-linking restraints
- Protein-protein docking — where restraint-guided docking excels
- High-accuracy needs — when every binding pose matters
- Structural biology projects — integrating multiple data sources
- CAPRI challenges — validated in community benchmarks
Try VigyanLLM Docking
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Open VigyanLLM Docking →Decision Guide: SwissDock or Haddock?
Choose SwissDock if: You need quick, automated docking without experimental data, are new to molecular docking, or want a simple web interface for preliminary binding assessment. SwissDock is the fast, free option for exploratory docking.
Choose Haddock if: You have experimental restraints (NMR, mutagenesis, cross-linking), need high-accuracy protein-protein docking, or are integrating structural data into your docking workflow. Haddock's information-driven approach is the gold standard for restraint-guided docking.
For production virtual screening: Neither SwissDock nor Haddock is ideal for large-scale batch screening. Consider VigyanLLM's consensus docking pipeline combining AutoDock Vina and GNINA for high-throughput virtual screening with interactive visualization.
For the most reliable docking predictions, use a consensus approach that combines multiple scoring functions. VigyanLLM's docking pipeline runs AutoDock Vina and GNINA, blending scores into consensus-ranked poses that are more reliable than any single engine prediction.
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Combine AutoDock Vina and GNINA in a single GPU-accelerated pipeline with ESMFold structure prediction and interactive 3D visualisation.
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