Fenghe Tang

This paper introduces structRFM, a structure-guided RNA foundation model that improves RNA function prediction and structural inference through pre-training on sequence-structure pairs.

This paper introduces BPfold, a deep learning method for RNA secondary structure prediction that improves accuracy and generalizability by incorporating base pair motif energy derived from tertiary structure modeling.