Generalizable prediction of RNA secondary structure remains a challenge on unseen families. Here, the authors propose BPfold, which integrates a base pair motif library with thermodynamic energy into a deep learning framework, gaining superior accuracy and robustness over state-of-the-art methods.
- Heqin Zhu
- Fenghe Tang
- S. Kevin Zhou