Comments (3)
@lh12565 , did you solve this? I got the same issue. in the end, I was able to use pip to install rdkit. however pip installed another set of libraries like libboostxxx, I am afraid that there is a chance of confliction because generate.py hung at rdkit at around 27th example.
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conda-molgrid
If I make the yaml file in the folder a mogrid virtual job like this, it works fine.
Name: Molgrid
channel:
- Py Torch
- Conda Forge
- default
Dependencies: - gxx<10
- cmake>=3.18
- cudatoolkit=11.3
- cudatoolkit-dev=11.3
- Python=3.7
- Boost = 1.74
- stupid
- Saifi
- Open barbell = 3
- Py Torch
- Pytest
- rdkit=2020.09.5
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If you have not yet been able to install the dependencies, please try the detailed installation instructions I have just updated in the README.md and let me know how it goes.
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Related Issues (20)
- where is the output for generated molecules and matrix? HOT 4
- gnina minmize problem HOT 2
- Can not access to https://bits.csb.pitt.edu/files/ to download those files HOT 2
- Segmentation Fault when running tests HOT 1
- tests ValueError: File does not exist: data/test_pockets/xxx HOT 3
- change configuration file for prior (no lig) sampling HOT 1
- Error when run cmake of libmogrid HOT 4
- Errors when run pytest tests HOT 12
- how I can export embeddings HOT 3
- Get Stuck when runing generate.py HOT 2
- Train_file and test_file are missing HOT 1
- CUDNN Error (out of memory?): CUDNN_STATUS_EXECUTION_FAILED HOT 2
- Get killed when running generate.py HOT 5
- Cannot use model with `fit_atoms: True` HOT 8
- Changing parameters while testing the model HOT 6
- KeyError: 'minimizedAffinity' in tests HOT 6
- Environment.yml isnt complete and libmolgrid git command fails HOT 3
- Changes required to train the CGAN model
- Data link failure
- i wanna to know something about generate ligand
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