Conformational Landscaping and Dynamic Mutational Profiling of Binding Interactions and Immune Escape for Broadly Neutralizing Class I Antibodies with SARS-CoV-2 Spike Protein: Distributed Binding Hotspot Networks Underlie Mechanism of Viral Resistance Against Existing Variants.

Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady Verkhivker
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Abstract

The rapid evolution of SARS-CoV-2 has underscored the need for a detailed understanding of antibody binding mechanisms to combat immune evasion by emerging variants. In this study, we investigated the interactions between Class I neutralizing antibodies BD55-1205, BD-604, OMI-42, P5S-1H1, and P5S-2B10 and the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein using multiscale modeling which combined coarse-grained simulations and atomistic reconstruction of conformational landscapes together with mutational scanning of the binding interfaces, dynamic profiling of binding and immune escape using molecular mechanics generalized Born surface area (MM-GBSA) analysis. A central theme emerging from this work is the critical role of epitope breadth and interaction diversity in determining an antibody resilience to mutations. BD55-1205 antibody exemplifies the advantages of broad epitope coverage and distributed hotspot mechanisms. By engaging an extensive network of residues across the RBD, BD55-1205 minimizes its dependence on individual side-chain conformations, allowing it to maintain robust binding even when key residues are mutated. This adaptability is particularly evident in its tolerance to mutations at positions such as L455 and F456, which severely compromise other antibodies. The ability of BD55-1205 to sustain cumulative interactions underscores the importance of targeting diverse epitopes through multiple interaction mechanisms, a strategy that enhances resistance to immune evasion while maintaining functional integrity. In contrast, BD-604 and OMI-42, with localized binding mechanisms, are more vulnerable to escape mutations at critical positions such as L455, F456, and A475. P5S-1H1 and P5S-2B10 exhibit intermediate behavior, balancing specificity and adaptability but lacking the robustness of BD55-1205. Mutational scanning identified key residues Y421, Y489, and F456 as critical hotspots for RBD stability and antibody binding, highlighting their dual role in viral fitness and immune evasion. The computational predictions generated through mutational scanning and MM-GBSA analysis demonstrate excellent agreement with experimental data on average antibody escape scores. This study underscores the diversity of binding mechanisms employed by different antibodies and molecular basis for high affinity and excellent neutralization activity of the latest generation of antibodies.

与SARS-CoV-2刺突蛋白广泛中和的I类抗体结合相互作用和免疫逃逸的构象景观和动态突变分析:分布式结合热点网络是病毒对现有变体抗性机制的基础。
SARS-CoV-2的快速演变强调了详细了解抗体结合机制以对抗新变体的免疫逃避的必要性。在这项研究中,我们利用多尺度模型,结合粗粒度模拟和构象结构的原子重建以及结合界面的突变扫描,研究了一类中和抗体BD55-1205、BD-604、OMI-42、P5S-1H1和P5S-2B10与SARS-CoV-2刺突蛋白受体结合域(RBD)的相互作用。基于分子力学广义Born表面积(MM-GBSA)分析的结合和免疫逃逸动力学分析。从这项工作中出现的一个中心主题是表位宽度和相互作用多样性在决定抗体对突变的恢复力中的关键作用。BD55-1205抗体具有广泛的表位覆盖和分布式热点机制的优势。通过在RBD中加入广泛的残基网络,BD55-1205最大限度地减少了对单个侧链构象的依赖,使其即使在关键残基发生突变时也能保持强大的结合。这种适应性在其对L455和F456等位点突变的耐受性中尤为明显,这些突变严重损害了其他抗体。BD55-1205维持累积相互作用的能力强调了通过多种相互作用机制靶向不同表位的重要性,这种策略在保持功能完整性的同时增强了对免疫逃避的抵抗力。相比之下,BD-604和OMI-42具有局部结合机制,更容易在L455、F456和A475等关键位置发生逃逸突变。P5S-1H1和P5S-2B10表现出中间行为,平衡特异性和适应性,但缺乏BD55-1205的稳健性。突变扫描发现关键残基Y421、Y489和F456是RBD稳定性和抗体结合的关键热点,突出了它们在病毒适应度和免疫逃避中的双重作用。通过突变扫描和MM-GBSA分析产生的计算预测与平均抗体逃逸分数的实验数据非常吻合。本研究强调了不同抗体结合机制的多样性和最新一代抗体具有高亲和力和良好中和活性的分子基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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