Keita Mizuma

This study develops a reverse genetics system for Yezo virus to investigate the role of its glycoprotein N-terminal region in replication across mammalian and tick hosts.

This study identifies the non-spike R204P mutation in the SARS-CoV-2 Omicron XEC variant as a driver of increased inflammation and pathogenicity through NF-κB activation.

This paper introduces CoVFit, a protein language model that predicts SARS-CoV-2 variant fitness using spike protein sequences, identifying fitness-enhancing mutations and predicting emerging variants.