Jinhua Zhu

Uni-Fold MuSSe: De Novo Protein Complex Prediction with Protein Language Models

Uni-Fold MuSSe predicts protein complex structures from primary sequences using pre-trained protein language models, showing potential for complex prediction.

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design

This paper develops a pre-trained antibody language model to improve CDR sequence and structure generation, outperforming previous methods in antigen-specific antibody design.