Jing Zhang

VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction

This paper develops VirusImmu, an ensemble machine learning method for predicting viral immunogenicity, showing strong performance on both test and external datasets.

E484K mutation in SARS-CoV-2 RBD enhances binding affinity with hACE2 but reduces interactions with neutralizing antibodies and nanobodies: Binding free energy calculation studies

This study investigates how the E484K mutation in SARS-CoV-2 RBD affects binding to hACE2 and neutralizing antibodies using molecular dynamics simulations.

neoDL: A novel neoantigen intrinsic feature-based deep learning model identifies IDH wild-type glioblastomas with the longest survival

A MAP of tumor-host interactions in glioma at single cell resolution

The paper introduces scTHI, a method to identify ligand-receptor interactions in glioma using single-cell RNA sequencing data from six human datasets.