Exploring Diverse Binding Mechanisms of Broadly Neutralizing Antibodies S309, S304, CYFN-1006 and VIR-7229 Targeting SARS-CoV-2 Spike Omicron Variants: Integrative Computational Modeling Reveals Balance of Evolutionary and Dynamic Adaptability in Shaping Molecular Determinants of Immune Escape

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Abstract Evolution of SARS-CoV-2 has led to the emergence variants with increased immune evasion capabilities, posing significant challenges antibody-based therapeutics and vaccines. The cross-neutralization activity antibodies against Omicron is governed by a complex delicate interplay multiple energetic factors interaction contributions. In this study, we conducted comprehensive analysis interactions between receptor-binding domain (RBD) spike protein four neutralizing S309, S304, CYFN1006, VIR-7229. Using integrative computational modeling that combined all-atom molecular dynamics (MD) simulations, mutational scanning, MM-GBSA binding free energy calculations, elucidated structural, energetic, dynamic determinants antibody binding. Our findings reveal distinct mechanisms evolutionary adaptation driving broad neutralization effect these antibodies. We show S309 targets conserved residues near ACE2 interface, leveraging synergistic van der Waals electrostatic interactions, while S304 focuses on fewer but sensitive residues, making it more susceptible escape mutations. CYFN-1006.1 CYFN-1006.2 highlights epitope coverage critical anchors at T345, K440, T346, enhancing its efficacy carrying K356T mutation which caused from broadly potent VIR-7229 XBB.1.5 EG.5 emphasized large structurally epitope, demonstrating certain adaptability compensatory effects F456L L455S Mutational profiling identified key crucial for binding, including P337, R346 T385 K386 underscoring their roles as "weak spots" balance viral fitness evasion. results demonstrate good agreement predicted hotspots mutations respect latest experiments average scores. study dissect importance targeting diverse epitopes counteract resistance. Broad-spectrum CYFN1006 maintain across achieve convergent evolution enabling tolerance in positions through structural interface. underscore diversity employed different basis high affinity excellent generation

Language: Английский

Integrative Computational Modeling of Distinct Binding Mechanisms for Broadly Neutralizing Antibodies Targeting SARS-CoV-2 Spike Omicron Variants: Balance of Evolutionary and Dynamic Adaptability in Shaping Molecular Determinants of Immune Escape

Viruses, Journal Year: 2025, Volume and Issue: 17(6), P. 741 - 741

Published: May 22, 2025

In this study, we conducted a comprehensive analysis of the interactions between receptor-binding domain (RBD) SARS-CoV-2 spike protein and four neutralizing antibodies—S309, S304, CYFN1006, VIR-7229. Using integrative computational modeling that combined all-atom molecular dynamics (MD) simulations, mutational scanning, MM-GBSA binding free energy calculations, elucidated structural, energetic, dynamic determinants antibody binding. Our findings reveal distinct mechanisms evolutionary adaptation driving broad neutralization effect these antibodies. We show S309 targets conserved residues near ACE2 interface, leveraging synergistic van der Waals electrostatic interactions, while S304 focuses on fewer but sensitive residues, making it more susceptible to escape mutations. The CYFN-1006.1 CYFN-1006.2 highlights epitope coverage with critical anchors at T345, K440, T346, enhancing its efficacy against variants carrying K356T mutation, which caused from broadly potent VIR-7229 XBB.1.5 EG.5 Omicron emphasized large structurally complex epitope, demonstrating certain adaptability compensatory effects F456L L455S Mutational profiling identified key crucial for binding, including P337, R346 as well T385 K386 underscoring their roles “weak spots” balance viral fitness immune evasion. results energetic demonstrate good agreement predicted hotspots, highlight importance targeting diverse epitopes counteract resistance.

Language: Английский