Hao Li

This study identifies potent SARS-CoV-2 PLpro inhibitors using machine learning, showing efficacy in a mouse model of COVID-19.

This paper develops an in silico sequence-based method for OspA typing of Borrelia burgdorferi sensu lato using next-generation sequencing data, identifying new OspA variants and introducing a novel nomenclature system.

PfaSTer predicts serotypes of Streptococcus pneumoniae genomes using machine learning and k-mer analysis, achieving >97% concordance with biochemical and other in-silico methods.

This study analyzes SARS-CoV-2 Mpro sequences from 4.89 million genomes to assess mutation patterns and structural conservation before Paxlovid use, finding rare escape mutations and strong purifying selection.