BioinfoMachineLearning / PoseBench
Comprehensive benchmarking of protein-ligand structure prediction methods. (Nature Machine Intelligence)
Why this job: matched by what the repo talks about: benchmark, comprehensive, machine, method
What it does
To reproduce, customize, or extend the PoseBench benchmark, we recommend fully installing PoseBench using mamba as follows:
Get started
pip install posebench- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 251
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.1.0
- Released 7 months ago
- Built with
- Jupyter Notebook
- 62% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 91% closed
- 1 still open
- Pull requests
- 6 merged
- 2 waiting
- Releases
- 10
- 1 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
- Jupyter Notebook 62%
- Python 38%
- Shell <1%
- TeX <1%
Topics
- benchmark
- computational-biology
- computational-chemistry
- deep-learning
- machine-learning
- molecular-docking
- structure-prediction
Project record
- JobEvals and observability
- StatusListed
- Commits574
- Forks17
- Watching2
- Stars in 28 days+1
- CreatedMay 23, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026