Deep contrastive learning-driven genome-wide virtual screening: A new paradigm for traditional Chinese medicine research

Graphical abstract Highlights Deep contrastive learning enables million-fold accelerated genome-wide screening DrugCLIP delivers a new paradigm for TCM modernization research TCM natural product specificity restricts DrugCLIP’s predictive performance In Brief This commentary elaborates DrugCLIP’s core innovations in ultrafast genome-wide virtual screening, specifies its applications in traditional Chinese medicine (TCM) research, analyzes its adaptation defects to TCM natural products and data limitations, and anticipates its optimized integration with TCM modernization.