Jingcheng Wu

TRAIT compiles nearly 8 million experimentally validated TCR-antigen pairs to provide a comprehensive resource for T-cell receptor interactions, aiding immunotherapy and vaccine design.

DeepCIP predicts circRNA IRESs using sequence and structure information, outperforming existing methods and improving predictive performance through feature integration.

DeepTAP predicts TAP-binding peptides using an RNN, outperforming existing methods on benchmark datasets.

TSNAdb v2.0 updates the tumor-specific neoantigen database with stricter identification criteria, predicted neoantigens from three mutation types, and experimentally validated neoantigens classified by evidence.

The paper predicts potential B/T-cell epitopes for multiple coronaviruses and stores the results in a database for vaccine development.