Multimodal contrastive learning for integrating molecular representations and cellular phenotypes in drug-target interaction prediction
A two-stage contrastive learning framework integrating drug structures, protein sequences, and Cell Painting morphological profiles into a unified embedding space, which reveals pathway-specific morphological signatures associated with drug targets, providing biologically interpretable insights into drug mechanisms.