Youchun Wang

This paper develops FutureFlu, a framework to predict influenza vaccine strains by quantifying viral fitness, showing improved accuracy compared to current methods.

This paper predicts SARS-CoV-2 RBD evolution using deep mutational scanning to identify broadly neutralizing antibodies effective against existing and prospective variants.

This study evaluates novel prodrugs based on (S)-HPMPA and (S)-HPMPC, finding that ODE-(S)-HPMPA formate is more potent against orthopoxviruses and adenoviruses than BCV, but less effective against HSV-1.

This study analyzes the humoral immune response to SARS-CoV-2 XBB and JN.1 lineages, showing JN.1 elicits superior neutralization and highlights the need for JN.1-based vaccine boosters.

The paper investigates how Omicron-specific naive B cell maturation after breakthrough infection alleviates immune imprinting from inactivated SARS-CoV-2 vaccines.

This study identifies ultra-potent Omicron-specific antibodies targeting the N1/N2 loop of the Spike NTD, which neutralize SARS-CoV-2 by competing with ACE2 and blocking S1 shedding, but are evaded by BA.2.86 and BA.2.87.1 sublineages.

This study investigates how N354 glycosylation in the SARS-CoV-2 spike protein affects viral fitness and human adaptation through multiple mechanisms.

This study assesses the antigenic properties and immune evasion of the SARS-CoV-2 variant BA.2.87.1, finding it less resistant to neutralizing antibodies than JN.1 but with compensatory deletions in the NTD.