Kaho Okumura

The paper develops a host-response-based framework to detect viral infections by analyzing ISG expression in RNA-seq data from diverse species, revealing hidden infections missed by conventional methods.

This study uses a protein language model to map influenza virus antigenicity from genotype data, revealing evolutionary patterns and improving vaccine strain selection.

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.

This study investigates the evolutionary changes from BA.2.86 to JN.1, showing that non-spike protein mutations compensate for reduced spike protein replication, enhancing viral fitness.

This study analyzes the virological characteristics of the SARS-CoV-2 XEC variant, showing it has higher infectivity and immune evasion compared to KP.3.1.1, contributing to its higher reproductive number and potential dominance.

This paper investigates the virological properties of the SARS-CoV-2 KP.3.1.1 variant, finding it has higher transmissibility and immune evasion compared to KP.3.

This study evaluates the virological properties of SARS-CoV-2 variants KP.3, LB.1, and KP.2.3, finding higher reproduction numbers and immune evasion compared to JN.1.

This study investigates the virological properties of the SARS-CoV-2 KP.2 variant, finding it has higher viral fitness and immune resistance compared to JN.1, contributing to its rapid spread.

This study investigates the virological properties of the SARS-CoV-2 JN.1 variant, focusing on its mutations and potential immune evasion capabilities.