Before revision:  We present DeepPurpose, a comprehensive and easy-to-use software toolkit for DL based drug-target interaction (DTI ) predictionwith applications to drug screening and repurposing. The unique feature of DeepPurpose is that it enables non-computational drug development scientists to identify drug candidates based on five pre-trained DL models with only a few lines of codes. Further, computer scientists can use DeepPurpose to train customized DTI prediction models with 15 drug and target encodings and 50 + novel DL architectures.
After revision:  We present DeepPurpose, a comprehensive and easy-to-use deep learning library for DTI prediction. DeepPurpose supports training of customized DTI prediction models with 15 drug and target encodings and 50 + novel DL architectures.