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水-聚糖相互作用驱动新冠病毒刺突蛋白动态变化:对聚糖门控和伪装机制的见解

Water-glycan interactions drive the SARS-CoV-2 spike dynamics: insights into glycan-gate control and camouflage mechanisms.

作者信息

Blazhynska Marharyta, Lagardère Louis, Liu Chengwen, Adjoua Olivier, Ren Pengyu, Piquemal Jean-Philip

机构信息

Laboratoire de Chimie Théorique, Sorbonne Université, UMR 7616 CNRS 75005 Paris France

Department of Biomedical Engineering, The University of Texas at Austin Texas 78712 USA.

出版信息

Chem Sci. 2024 Aug 23;15(35):14177-87. doi: 10.1039/d4sc04364b.

DOI:10.1039/d4sc04364b
PMID:39220162
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11359970/
Abstract

To develop therapeutic strategies against COVID-19, we introduce a high-resolution all-atom polarizable model capturing many-body effects of protein, glycan, solvent, and membrane components in SARS-CoV-2 spike protein open and closed states. Employing μs-long molecular dynamics simulations powered by high-performance cloud-computing and unsupervised density-driven adaptive sampling, we investigated the differences in bulk-solvent-glycan and protein-solvent-glycan interfaces between these states. We unraveled a sophisticated solvent-glycan polarization interaction network involving the N165/N343 glycan-gate patterns that provide structural support for the open state and identified key water molecules that could potentially be targeted to destabilize this configuration. In the closed state, the reduced solvent polarization diminishes the overall N165/N343 dipoles, yet internal interactions and a reorganized sugar coat stabilize this state. Despite variations, our glycan-solvent accessibility analysis reveals the glycan shield capability to conserve constant interactions with the solvent, effectively camouflaging the virus from immune detection in both states. The presented insights advance our comprehension of viral pathogenesis at an atomic level, offering potential to combat COVID-19.

摘要

为了开发针对COVID-19的治疗策略,我们引入了一种高分辨率全原子可极化模型,该模型捕捉了严重急性呼吸综合征冠状病毒2(SARS-CoV-2)刺突蛋白开放和关闭状态下蛋白质、聚糖、溶剂和膜成分的多体效应。利用由高性能云计算和无监督密度驱动自适应采样支持的微秒级分子动力学模拟,我们研究了这些状态之间本体溶剂-聚糖和蛋白质-溶剂-聚糖界面的差异。我们揭示了一个复杂的溶剂-聚糖极化相互作用网络,该网络涉及为开放状态提供结构支持的N165/N343聚糖门模式,并确定了可能成为破坏这种构型稳定性靶点的关键水分子。在关闭状态下,溶剂极化的降低减少了整体N165/N343偶极,但内部相互作用和重新组织的糖被稳定了这种状态。尽管存在差异,但我们的聚糖-溶剂可及性分析表明,聚糖屏蔽能力能保持与溶剂恒定的相互作用,在两种状态下都有效地将病毒伪装起来,使其免受免疫检测。所呈现的见解在原子水平上推进了我们对病毒发病机制的理解,为抗击COVID-19提供了潜力。

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