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