Binbin Chen

The paper develops MHC Attention, a deep learning model, and combines it with high-throughput screening to identify novel HLA-E presented cancer peptides.

IMMREP25 evaluates TCR:pMHC binding prediction for unseen peptides, showing improved performance with structural modeling but still below random guessing.

The paper presents a workflow using machine learning to optimize protein function and reduce immunogenicity in cell and gene therapies.