Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks.
Journal:
BMC bioinformatics
Published Date:
Dec 24, 2019
Abstract
BACKGROUND: Accurate identification of potential interactions between drugs and protein targets is a critical step to accelerate drug discovery. Despite many relative experimental researches have been done in the past decades, detecting drug-target interactions (DTIs) remains to be extremely resource-intensive and time-consuming. Therefore, many computational approaches have been developed for predicting drug-target associations on a large scale.