Emergence of neutralizing RBD antibodies following Omicron infection with limited activity against ancestral SARS-CoV-2

Convergent IGHV3-53/3-66 antibodies elicited by Omicron BA.1 infection broadly neutralize emerging SARS-CoV-2 variants

Structural and mutational analyses define distinct molecular routes to broad SARS-CoV-2 receptor-binding domain recognition

Two human-derived monoclonal antibodies are characterized that recognize conserved epitopes on the SARS-CoV-2 RBD and retain activity across antigenically distinct variants, and conserved, mutationally constrained epitopes may serve as targets for vaccines designed to elicit antibody responses resilient to ongoing SARS-CoV-2 evolution and future sarbecovirus emergence.

Allosteric effects of CDR-H3 mutations modulate binding and neutralization of a conserved SARS-CoV-2 RBD-targeting antibody

ABSTRACT SARS-CoV-2 antigenic evolution continues to erode the activity of first-generation monoclonal antibodies, underscoring the value of antibodies that recognize conserved features within the spike receptor-binding domain (RBD). As a model for breadth-oriented engineering, we assessed the RBD-directed antibody XG83, which has a CDRH3-dominated paratope. Utilizing the XG83-Wuhan RBD crystal structure as a reference, we integrated MOE alanine scanning and residue scanning with CDRH3 (A116-Y132) to identify chemically reasonable replacements and test interaction to an Omicron BA.1 RBD. The parental CDRH3-centric pose in comparative docking had a better score (−280.18) than the mutant MuXG83 (−254.2), along with 100-ns molecular dynamics showed that MuXG83 was less stable (with higher RMSD/RMSF with less favorable interaction energy). The ELISA results against Omicron BA.1 RBD demonstrated that XG83 had 40% stronger binding than MuXG83; convergence happened only at the highest concentration, concordant with SPR studies and the fact that mutation increased dissociation. According to this binding gap, BA.1 pseudovirus neutralization demonstrated that XG83 was much more powerful than MuXG83, showing that the E118L/F130H CDR-H3 alterations decreased functional activity against Omicron BA.1. These results imply that allosteric influences on interface stability and conformational dynamics by non-epitope CDR-H3 residues can affect antibody performance. Functional testing was confined to Omicron BA.1; therefore, larger variant-panel studies are needed to ascertain if such mutations affect antibody breadth. Our findings highlight a structure-guided approach for optimizing paratopes and indicate that non-epitope (potentially allosteric) changes to CDRH3 are also important while investigating potential development and neutralization before advancement. IMPORTANCE This study shows how modest allosteric characteristics in CDR-H3 control the delicate balance between neutralizing potency and breadth, making a timely and significant addition to SARS-CoV-2 antibody engineering. Using crystallography, alanine scanning, residue scanning, docking, molecular dynamics, and experimental ELISA and neutralization assays, this study offers a structure-guided framework for rational paratope optimization. The discovery of CDR-H3 residues that regulate long-range stability rather than just direct epitope contacts reveals an unappreciated aspect of antibody design and explains why some alterations improve anticipated interactions but degrade functional performance. Importantly, the comparison of wild-type XG83 and modified MuXG83 shows how allosteric tuning affects antibody-antigen compatibility in developing variations like Omicron. These findings illuminate conserved RBD recognition and offer strategies for building next-generation therapeutic antibodies that are more resistant to viral evolution. This study shows how modest allosteric characteristics in CDR-H3 control the delicate balance between neutralizing potency and breadth, making a timely and significant addition to SARS-CoV-2 antibody engineering. Using crystallography, alanine scanning, residue scanning, docking, molecular dynamics, and experimental ELISA and neutralization assays, this study offers a structure-guided framework for rational paratope optimization. The discovery of CDR-H3 residues that regulate long-range stability rather than just direct epitope contacts reveals an unappreciated aspect of antibody design and explains why some alterations improve anticipated interactions but degrade functional performance. Importantly, the comparison of wild-type XG83 and modified MuXG83 shows how allosteric tuning affects antibody-antigen compatibility in developing variations like Omicron. These findings illuminate conserved RBD recognition and offer strategies for building next-generation therapeutic antibodies that are more resistant to viral evolution.

Serum Escape Landscape of SARS-CoV-2 Omicron JN.1 and XEC RBD Under COVID-19 Vaccine Breakthrough Immunity in China

Population immune pressure from vaccination and prior infection continues to drive the evolution of SARS-CoV-2. Systematic characterization of RBD mutations under complex immune backgrounds is essential for understanding viral adaptation and evolutionary trajectories. Here, we applied a deep mutational scanning (DMS) to comprehensively map the neutralization escape landscape of the Omicron variant JN.1 and its descendant lineage XEC, under immune pressure from individuals who experienced Omicron breakthrough infections following three doses of inactivated vaccines. A neutralization escape map for the single amino acid substitutions in the RBD of JN.1 or XEC was generated, and the escape efficiency of each mutation was determined. The results show that RBD escape mutations are hierarchically organized: low-intensity signals are widespread, whereas high-intensity escape is confined to a few key sites. These escape mutations are not confined solely to the receptor-binding motif (RBM) but are broadly distributed across the entire RBD. Many escape sites could accommodate multiple amino acid substitutions. Integration of DMS data with genomic surveillance of circulating variants from 2024 to 2025 revealed significant overlap between experimentally identified escape sites and mutations observed in natural isolates. This overlap increased substantially in 2025, with site concordance rising from 27.17% and 26.81% to 45.09% and 47.10% for JN.1 and XEC, respectively. The natural prevalence of these escape mutations is further shaped by factors such as receptor-binding affinity, protein stability, and epistatic interactions. Overall, our findings suggest that SARS-CoV-2 antigenic evolution follows the pattern of multiple pathways within a constrained space, providing new insights into the adaptive mechanisms of Omicron-derived variants under hybrid immune pressure.

Antibody evasion and receptor binding of SARS-CoV-2 variants PQ.16.1.1 and RK.1

Evaluations utilizing surface plasmon resonance and pseudovirus assays demonstrate that these sublineages exhibit significantly reduced human ACE2 receptor engagement compared to their parental strain, which suggests these variants will soon spread globally and emphasize the critical need for ongoing surveillance to monitor D420N-carrying lineages.

Structural and functional dissection of neutralisation differences among SARS-CoV-2 variants using antigenicity prediction and CR3022 binding analysis

A combined experimental and computational characterization of SARS-CoV-2 variant-specific neutralisation across infection, vaccination and hybrid immunity-driven cohorts is provided, offering a hypothesis-generating framework to contextualize observed differences in antibody responses and epitope recognition across variants.