Molecular Similarity Search Benchmark (MssBenchmark)
This looks like it could be a very useful resource.
Molecular Similarity Search Benchmark (MssBenchmark) on GitHub https://github.uconn.edu/mldrugdiscovery/MssBenchmark these can be run on your local machine or on a HPC.
Currently supports
- Balltree
- Bruteforce/Exhausive search
- Chemfp 1.6.1
- the standard modulo-OR-compression algorithm, or folding
- Min-Hash
- DivideSkip
- Hnsw
- Onng
- Panng
- Pynndescent
- Risc
- SW-graph
- VPtree
They also have ChEMBL and Molport as test datasets.
Requires
- ansicolors==1.1.8
- docker==2.6.1
- h5py==2.7.1
- matplotlib==2.1.0
- numpy==1.13.3
- pyyaml==3.12
- psutil==5.4.2
- scipy==1.0.0
- scikit-learn==0.19.1
- jinja2==2.10
- h5sparse==0.1.0
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