Junchi Yan

IgGM2 is an all-atom foundation model for immune receptor design that jointly predicts CDR sequences and full-atom structures, outperforming existing methods in structure prediction and sequence design benchmarks.

Ophiuchus-Ab is a generative foundation model for antibody design that captures inter-chain dependencies and predicts antibody properties like developability and binding affinity.

RNAJog optimizes RNA sequences for multiple objectives using autoregressive reinforcement learning, achieving faster performance and improved vaccine design outcomes.

This study introduces iDeepS, a deep learning method that predicts RNA-protein binding sites by integrating sequence and structure information, outperforming existing methods.