Drug-target interaction prediction with collaborative contrastive learning and adaptive self-paced sampling strategy.
Journal:
BMC biology
PMID:
39334132
Abstract
BACKGROUND: Drug-target interaction (DTI) prediction plays a pivotal role in drug discovery and drug repositioning, enabling the identification of potential drug candidates. However, most previous approaches often do not fully utilize the complementary relationships among multiple biological networks, which limits their ability to learn more consistent representations. Additionally, the selection strategy of negative samples significantly affects the performance of contrastive learning methods.