Machine learning for Drug-Target Interaction Prediction

This thesis proposes deep learning frameworks to learn and decode the drug"target interaction. The deep learning model is inspired by the drug"target interaction mechanism and exploits a rich external data resource. This facilitates drug"target interaction modelling as well as a better understanding of this crucial interaction in the drug discovery framework.