Yunxiang Zhao

SemVac uses LLMs to predict vaccine antigens by analyzing literature-derived protein descriptions, outperforming existing methods and identifying new candidates with experimental validation.

This paper develops AENCS to engineer antibodies targeting glycosylated epitopes, demonstrating ACC01's 24-fold improved neutralization against SARS-CoV-2 variants.

The paper identifies a causative SNP in the promoter of myogenin that influences myogenic differentiation and muscle regeneration in pigs.

The paper presents PigGTEx, a resource linking genetic variants to transcriptomic phenotypes in pigs, showing pigs' similarity to humans in gene regulation and complex traits.

The paper proposes a 3-step framework for bacterial taxonomy analysis based on protein domains and selects the best model candidates to improve classification accuracy and biological interpretation.

The paper proposes a 3-step framework for bacterial taxonomy analysis based on protein domains, selects the best model candidates, and provides taxonomy suggestions for NCBI.