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License: MIT License
toolkit for prediction pKa values of small molecules via graph convolutional networks
License: MIT License
Hello, developer @mayrf
I just run pka_prediction.ipynb on Google Colab. But I got different result with your original version.
Can you tell me more document for how to use this package?
Thanks for any help.
Hi,
I've been trying to run pka solver (calculate microstates function) on a fairly large dataset of compounds (>1000). Unfortunately, it seems the function simply stops running after a while. Other similarly large datasets give the same problem, and stop after a seemingly random amount of compounds, with no error message.
Happy to share the code I'm using if that is helpful.
Cheers
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KeyError: 'GIN_p.convs.0.nn.lins.0.weight'
i am using the the notebook provided, it errors out protonation_states = calculate_microstate_pka_values(mol, only_dimorphite=True)
Not sure there seems to be a mismatch with the model provided and the code
Hello,
I've noticed that Dimorphite-DL is called via subprocess
, although it is a python script and can probably be called directly as an imported package, which should be more efficient.
I can try to change it myself if this makes sense.
Hello,
First of all, thank you for making this tool open-source.
I tried to run pkasolver-light on Novartis dataset with Dimorphite-DL. However, it seems that the protonation sites identified by Dimorphite are very different from Marvin's.
When I evaluate the model on the Novartis dataset you provided (with protonation sites identified by Marvin), the RMSE score is around 1.2 on pkasolver-light but with Dimorphite-DL, it is 3.9.
Is it a mistake on my side or are the scores with Dimorphite-DL indeed so low?
For some reason Colab notebook doesnt work.
I have started to add tests for some of the graph generating functions and come across some surprising behavior in one of the added test. It seem as if the edge attributes are the same for prot/deprot forms of the molecule. Can you please double check this @mayrf ? Is this expected behaviour?
A test case that checks for this is here:
https://github.com/MayrF/pkasolver/blob/bf01b4be71b7aa97a5984bdae75502e81f3b228f/pkasolver/tests/test_data_generation.py#L178
Hi Fritz!
Could you please update the pkasolver/devtools/conda-envs/test_env.yaml and include the packages that you have installed to run you tools?
thank you and best regards,
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