Jiannan Yang

BioXNet predicts anti-cancer drug responses by integrating drug targets and genomic profiles, showing better performance than existing models and revealing differences in response mechanisms between cell lines and humans.

The paper introduces ERTransformer, a large language model that generates T-cell receptors with desired epitope-binding properties, showing high functional similarity to natural TCRs.