AlphaFold2 Modeling and Molecular Dynamics Simulations of the Conformational Ensembles for the SARS-CoV-2 Spike Omicron JN.1, KP.2 and KP.3 Variants: Mutational Profiling of Binding Energetics Reveals Epistatic Drivers of the ACE2 Affinity and Escape Hotspots of Antibody Resistance

Viruses Pub Date : 2024-09-13 DOI:10.3390/v16091458
Nishank Raisinghani, Mohammed Alshahrani, Grace Gupta, Gennady Verkhivker
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Abstract

The most recent wave of SARS-CoV-2 Omicron variants descending from BA.2 and BA.2.86 exhibited improved viral growth and fitness due to convergent evolution of functional hotspots. These hotspots operate in tandem to optimize both receptor binding for effective infection and immune evasion efficiency, thereby maintaining overall viral fitness. The lack of molecular details on structure, dynamics and binding energetics of the latest FLiRT and FLuQE variants with the ACE2 receptor and antibodies provides a considerable challenge that is explored in this study. We combined AlphaFold2-based atomistic predictions of structures and conformational ensembles of the SARS-CoV-2 spike complexes with the host receptor ACE2 for the most dominant Omicron variants JN.1, KP.1, KP.2 and KP.3 to examine the mechanisms underlying the role of convergent evolution hotspots in balancing ACE2 binding and antibody evasion. Using the ensemble-based mutational scanning of the spike protein residues and computations of binding affinities, we identified binding energy hotspots and characterized the molecular basis underlying epistatic couplings between convergent mutational hotspots. The results suggested the existence of epistatic interactions between convergent mutational sites at L455, F456, Q493 positions that protect and restore ACE2-binding affinity while conferring beneficial immune escape. To examine immune escape mechanisms, we performed structure-based mutational profiling of the spike protein binding with several classes of antibodies that displayed impaired neutralization against BA.2.86, JN.1, KP.2 and KP.3. The results confirmed the experimental data that JN.1, KP.2 and KP.3 harboring the L455S and F456L mutations can significantly impair the neutralizing activity of class 1 monoclonal antibodies, while the epistatic effects mediated by F456L can facilitate the subsequent convergence of Q493E changes to rescue ACE2 binding. Structural and energetic analysis provided a rationale to the experimental results showing that BD55-5840 and BD55-5514 antibodies that bind to different binding epitopes can retain neutralizing efficacy against all examined variants BA.2.86, JN.1, KP.2 and KP.3. The results support the notion that evolution of Omicron variants may favor emergence of lineages with beneficial combinations of mutations involving mediators of epistatic couplings that control balance of high ACE2 affinity and immune evasion.
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对 SARS-CoV-2 Spike Omicron JN.1、KP.2 和 KP.3 变体的构象组合进行 AlphaFold2 建模和分子动力学模拟:结合能谱的突变分析揭示了 ACE2 亲和力的表观驱动因素和抗体抗性的逃逸热点
从 BA.2 和 BA.2.86 演化而来的最近一波 SARS-CoV-2 Omicron 变体,由于功能热点的趋同进化,病毒的生长和适应能力得到了提高。这些热点串联运行,优化了受体结合以实现有效感染和免疫逃避的效率,从而保持了病毒的整体适应性。由于缺乏 FLiRT 和 FLuQE 最新变体与 ACE2 受体和抗体的结构、动力学和结合能方面的分子细节,本研究对其进行了深入探讨。我们将基于 AlphaFold2 的 SARS-CoV-2 穗状复合体与宿主受体 ACE2 的结构和构象集合预测与最主要的 Omicron 变体 JN.1、KP.1、KP.2 和 KP.3 结合起来,研究了趋同进化热点在平衡 ACE2 结合和抗体逃避中的作用机制。利用对尖峰蛋白残基的集合突变扫描和结合亲和力计算,我们确定了结合能量热点,并描述了收敛突变热点之间表观耦合的分子基础。结果表明,在 L455、F456 和 Q493 位置的趋同突变位点之间存在表观相互作用,这些相互作用在保护和恢复 ACE2 结合亲和力的同时赋予其有益的免疫逃逸能力。为了研究免疫逃逸机制,我们对尖峰蛋白与几类抗体的结合进行了基于结构的突变剖析,这些抗体对 BA.2.86、JN.1、KP.2 和 KP.3 的中和作用受到了损害。结果证实了实验数据,即携带 L455S 和 F456L 突变的 JN.1、KP.2 和 KP.3 会显著削弱 1 类单克隆抗体的中和活性,而 F456L 介导的表观效应会促进 Q493E 变化的后续汇聚,以挽救 ACE2 的结合。结构和能量分析为实验结果提供了理论依据,实验结果表明,与不同结合表位结合的 BD55-5840 和 BD55-5514 抗体可以保持对所有受检变体 BA.2.86、JN.1、KP.2 和 KP.3 的中和效力。这些结果支持这样一种观点,即 Omicron 变体的进化可能有利于出现具有有益突变组合的品系,这些突变涉及控制 ACE2 高亲和力和免疫逃避平衡的表观耦合介质。
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