Tetsuya Sakurai

ColdstartMHDTI: integrating biomolecular pretraining and attention-based heterogeneous graph learning for drug–target interaction prediction

ColdstartMHDTI is proposed, a two-stage framework for heterogeneous-graph-based DTI prediction that integrates sequence-derived structural representations with local and global relational information and supports candidate prioritization for downstream screening and evidence-guided hypothesis generation.