Xiangrui Gao

siDiff improves siRNA design by combining a diffusion model with an efficacy guidance model, achieving better hit rates and generalization across target genes.

This study introduces PARA, a pre-trained model for antibody sequences that outperforms existing models on various tasks by incorporating antibody-specific features.

WUREN is a multimodal model that fuses sequence, graph, and structural features to predict protein interaction interfaces and antigen epitopes, achieving state-of-the-art performance.