Xinyi Wu

Highfold predicts cyclic peptides and their complexes using AlphaFold, improving accuracy by incorporating structural information.

This paper introduces Multi_CycGT, a deep learning model for predicting cyclic peptide membrane permeability, achieving high accuracy and AUC on a benchmark dataset.

The paper introduces a deep learning model called CcBHLA for predicting HLA class I peptide binding, showing improved performance over existing methods.

The paper identifies and characterizes Ribo-macs, large ribosome clusters in naive stem cells, showing their dynamic nature and role in protein synthesis related to organelle biogenesis.