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SARS-CoV-2 刺突蛋白的完全糖基化与各种抗体的动态相互作用。

Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies.

机构信息

Departments of Biological Sciences, Chemistry, Bioengineering, and Computer Science and Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.

Biognos AB, Box 8963, 40274 Göteborg, Sweden.

出版信息

J Chem Theory Comput. 2021 Oct 12;17(10):6559-6569. doi: 10.1021/acs.jctc.1c00552. Epub 2021 Sep 16.

Abstract

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents a public health crisis, and the vaccines that can induce highly potent neutralizing antibodies are essential for ending the pandemic. The spike (S) protein on the viral envelope mediates human angiotensin-converting enzyme 2 binding and thus is the target of a variety of neutralizing antibodies. In this work, we built various S trimer-antibody complex structures on the basis of the fully glycosylated S protein models described in our previous work and performed all-atom molecular dynamics simulations to gain insight into the structural dynamics and interactions between S protein and antibodies. Investigation of the residues critical for S-antibody binding allows us to predict the potential influence of mutations in SARS-CoV-2 variants. Comparison of the glycan conformations between S-only and S-antibody systems reveals the roles of glycans in S-antibody binding. In addition, we explored the antibody binding modes and the influences of antibody on the motion of S protein receptor binding domains. Overall, our analyses provide a better understanding of S-antibody interactions, and the simulation-based S-antibody interaction maps could be used to predict the influences of S mutation on S-antibody interactions, which will be useful for the development of vaccine and antibody-based therapy.

摘要

严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)的传播带来了公共卫生危机,能够诱导高效中和抗体的疫苗对于结束大流行至关重要。病毒包膜上的刺突(S)蛋白介导人类血管紧张素转换酶 2 的结合,因此是多种中和抗体的靶标。在这项工作中,我们在前人工作中描述的完全糖基化 S 蛋白模型的基础上构建了各种 S 三聚体-抗体复合物结构,并进行了全原子分子动力学模拟,以深入了解 S 蛋白和抗体之间的结构动力学和相互作用。对 S-抗体结合关键残基的研究使我们能够预测 SARS-CoV-2 变体中突变的潜在影响。比较 S 蛋白和 S-抗体系统之间的聚糖构象揭示了聚糖在 S-抗体结合中的作用。此外,我们还探索了抗体的结合模式以及抗体对 S 蛋白受体结合域运动的影响。总的来说,我们的分析提供了对 S-抗体相互作用的更好理解,基于模拟的 S-抗体相互作用图谱可用于预测 S 突变对 S-抗体相互作用的影响,这对于疫苗和抗体为基础的治疗的发展将是有用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f8/10482170/54808135d51f/nihms-1922396-f0002.jpg

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