Jing Lan

STRUCTURE-AWARE CONTRASTIVE LEARNING WITH FINE-GRAINED BINDING REPRESENTATIONS FOR DRUG DISCOVERY

Accurate identification of drug-target interactions (DTI) remains a central challenge in computational pharmacology, where sequence-based methods offer scalability. This work introduces a sequence-based drug-target interaction framework that integrates structural priors into protein representations…