BioinfoMachineLearning / FlowDock
A geometric flow matching model for generative protein-ligand docking and affinity prediction. (ISMB 2025)
Why this job: works in the areas we cover, but does not say which job it does
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 146
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.0.3
- Released 20 months ago
- Built with
- Python
- 85% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 93% closed
- 1 still open
- Pull requests
- 3 merged
- 0 waiting
- Releases
- 3
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 85%
- Jupyter Notebook 13%
- Shell 1%
- Dockerfile <1%
Topics
- computational-biology
- computational-chemistry
- deep-learning
- generative-model
- machine-learning
- molecular-docking
- structure-prediction
Project record
- JobOther AI tools
- StatusListed
- Commits43
- Forks32
- Watching3
- Stars in 28 days0
- CreatedDec 16, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026