Chao Zhang

The paper designs a protein that binds to multiple SARS-CoV-2 RBD variants with high affinity, demonstrating a strategy for broad-spectrum antiviral inhibitors.

SAKE-PP improves PPI model evaluation by predicting interface RMSD without native references, outperforming AF3 on docking decoys and antibody-antigen complexes.

This paper introduces ConFit, a method to train protein language models with limited experimental data for fitness prediction, showing improved accuracy and efficiency in low-N learning scenarios.