TransDTI , a model designed to advance the process of DTI prediction in a way that discriminates different types of interactions, to come up with novel interactions predictions; this was possible due to being trained on large DTI datasets. Three different categories were assigned to predicted drug-target pairs; inactive, intermediate, and active. TransDTI significantly outperformed traditional DTI benchmark models.