Ping Xu

DiNovo improves de novo peptide sequencing by using mirror proteases and deep learning, achieving higher coverage and confidence than single-protease methods.

DeepDigest predicts proteolytic cleavage sites for eight proteases using a deep learning model, outperforming traditional methods across multiple datasets.

The paper introduces a web server for QTY-based design of water-soluble α-helical transmembrane proteins and provides protocols for its use.

Open-pFind improves peptide identification in shotgun proteomics by handling complex modifications and increasing identification rates and speed.