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.

The paper shows JN.1 outcompetes BA.2.86 and other variants by evading antibodies more effectively, despite reduced ACE2 binding.

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