Sijie Yang

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

SARS-CoV-2 variant BA.3.2 strongly evades neutralizing antibodies but exhibits low infectivity due to a closed spike conformation, whereas NB.1.8.1 combines high ACE2 affinity with humoral immune escape.

The paper analyzes virological and antigenic traits of SARS-CoV-2 variants LF.7.2.1, NP.1, and LP.8.1, finding trade-offs between immune evasion and ACE2 binding efficiency.

This study investigates the structural and molecular basis of enhanced ACE2 binding in SARS-CoV-2 KP.3 variant through Cryo-EM and MD simulations, revealing synergistic mutational effects.

This study shows that SARS-CoV-2 variants KP.3.1.1 and XEC have enhanced immune evasion through NTD glycosylation, despite maintaining high ACE2 binding and infectivity.

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.

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.

CIBER is a causal inference framework for analyzing cell state transitions, identifying key features in differentiation processes and predicting novel regulatory associations.