Xueying Wang

This paper introduces PHbinder and PSGM, models that predict epitopes and identify HLA-I alleles, achieving high accuracy and uncovering new alleles.

The paper introduces PhosF3C, a model combining a fine-tuned protein language model and conformer architecture to predict phosphorylation sites with high accuracy.

TransHLA predicts epitopes across all HLA alleles with high accuracy, outperforming existing models in specificity and sensitivity for immunogenic and neoepitope identification.

This paper introduces TCRanno, a tool to quantify TCR repertoire specificity, revealing insights into infections, autoimmunity, and cancer through analysis of 4,195 repertoires.