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file list

  • data_preprocess_multi_condi.py:Preprocessing operations were performed on the raw data from ChEMBL.

  • model_train.py:Train the HNNDTA model

  • model_test.py:Run the HNNDTA model on test dataset and get predicted DTA value from test dataset.

  • predict_FDA.py: Run the HNNDTA model on FDA candidate drug dataset and rank all drug based on the DTA value.

run code

To train the HNNDTA model:

python model_train.py

To run the HNNDTA model on test dataset:

python model_test.py

requirement

dgl dglgo numpy pandas prettytable rdkit torch

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  • Python 100.0%