Xiangxian Meng

This study shows that predicted virus-human protein-protein interactions can better predict viral phenotypes like infectivity and virulence than genomic or sequence-based methods.

This paper introduces vhPPIpred, a machine learning method for predicting virus-human PPIs that outperforms existing methods and provides a benchmark dataset.

This study analyzes the virome in SLE patients and controls, finding higher viral positivity in patients and suggesting viral infections may worsen disease severity.