Open access
Aug 2026
A knowledge-driven framework for predicting single-cell responses for unprofiled drugs
Predicting cellular response to chemical perturbations is critical to build virtual cells, yet experimentally profiled compounds cover only a small fraction of this space. Existing models struggle to generalize to unprofiled compounds, as they typically treat drugs as isolated identifiers without encoding their mechani...
Jinghao Feng, Zi-Heng Zhao, Xiaoman Zhang et al.
· Nature Machine Intelligence · 1 citation