Long Xu

Structured biological evidence enables general-purpose language models to predict bacteriophage-host interactions

The paper introduces a structured-evidence framework for predicting bacteriophage-host interactions using a large language model, achieving high accuracy and enabling interpretable inference.

HINS: HLA-mediated immunogenic neoantigen score for robust prediction of immune checkpoint blockade response

This paper introduces HINS, a deep-learning method that predicts immune checkpoint blockade response using HLA-mediated immunogenic neoantigen scores, achieving high accuracy in identifying responders.

THLANet: A Deep Learning Framework for Predicting TCR-pHLA Binding in Immunotherapy Applications

THLANet predicts TCR-pHLA binding using deep learning, outperforming existing methods and providing structural insights into TCR-antigen interactions.

GeoGAT-site: A Face-Centered Geometric Graph Attention Network for Protein-Protein Interface Prediction

GeoGAT-site predicts protein-protein interaction sites using a geometric graph attention network, achieving high accuracy and efficiency compared to existing methods.