/adr

Deep Learning Prediction of Adverse Drug Reactions In Drug Discovery Using Open TG–GATEs and FAERS Databases

This is the the companion repository of the paper: (Will be added later)

by: Attayeb Mohsen, Lokesh P. Tripathi, and Kenji Mizuguchi

Files details:

.
├── README.md
├── selected_models
│   ├── acute_generalised_exanthematous_pustulosis
│   ├── bone_marrow_failure
│   ├── catatonia
│   ├── duodenal_ulcer
│   ├── electrocardiogram_qt_prolonged
│   ├── febrile_neutropenia
│   ├── gastric_haemorrhage
│   ├── hepatitis_fulminant
│   ├── liver_transplant
│   ├── lymphocytosis
│   ├── neutropenic_sepsis
│   ├── optic_atrophy
│   ├── torsade_de_pointes
│   └── toxic_epidermal_necrolysis
└── summary_of_models.json

How to execute these models:

To run these models to predict for new data, please load the model using tf.keras.models.load_model and following the prepartion of the data as mentioned in the article. For further details please contact me at: attayeb@nibiohn.go.jp;