Yuhao Zhang

This paper introduces a benchmark to evaluate single-cell drug perturbation models by assessing their fidelity to drug-response signatures, finding that expression similarity is a poor proxy for mechanism preservation.

The paper introduces a protein language model-based method to predict conformational B-cell epitopes on antigen structures, outperforming existing methods on benchmark datasets.

This paper develops a deep learning model to analyze antibody-antigen interactions, achieving high accuracy in distinguishing antibody-antigen complexes from other protein complexes and identifying antigens from epitope information.