DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks

摘要

Drug discovery demands rapid quantification of compound–protein interaction (CPI). However, there is a lack of methods that can predict compound–protein affinity from sequences alone with high applicability, accuracy and interpretability.