Department of Physics and Astronomy, University of Missouri-Kansas City, Kansas City, MO 64110, USA.
Department of Applied Sciences, University of Technology, Baghdad 10066, Iraq.
Int J Mol Sci. 2022 Sep 3;23(17):10091. doi: 10.3390/ijms231710091.
The receptor-binding domain (RBD) is the essential part in the Spike-protein (S-protein) of SARS-CoV-2 virus that directly binds to the human ACE2 receptor, making it a key target for many vaccines and therapies. Therefore, any mutations at this domain could affect the efficacy of these treatments as well as the viral-cell entry mechanism. We introduce ab initio DFT-based computational study that mainly focuses on two parts: (1) Mutations effects of both Delta and Omicron variants in the RBD-SD1 domain. (2) Impact of Omicron RBD mutations on the structure and properties of the RBD-ACE2 interface system. The in-depth analysis is based on the novel concept of (AABPU) that reveal the differences between the Delta and/or Omicron mutations and its corresponding wild-type strain in terms of the role played by non-local amino acid interactions, their 3D shapes and sizes, as well as contribution to hydrogen bonding and partial charge distributions. Our results also show that the interaction of Omicron RBD with ACE2 significantly increased its bonding between amino acids at the interface providing information on the implications of penetration of S-protein into ACE2, and thus offering a possible explanation for its high infectivity. Our findings enable us to present, in more conspicuous atomic level detail, the effect of specific mutations that may help in predicting and/or mitigating the next variant of concern.
受体结合域(RBD)是 SARS-CoV-2 病毒刺突蛋白(S 蛋白)中的重要部分,它直接与人类 ACE2 受体结合,是许多疫苗和治疗方法的关键靶点。因此,该结构域的任何突变都可能影响这些治疗方法的疗效以及病毒进入细胞的机制。我们介绍了一项基于从头算 DFT 的计算研究,主要集中在两个部分:(1)Delta 和 Omicron 变体在 RBD-SD1 结构域中的突变影响。(2)Omicron RBD 突变对 RBD-ACE2 界面系统结构和性质的影响。深入分析基于新的(AABPU)概念,揭示了 Delta 和/或 Omicron 突变与其相应野生型菌株之间在非局部氨基酸相互作用、它们的 3D 形状和大小以及对氢键和部分电荷分布的贡献方面的差异。我们的结果还表明,Omicron RBD 与 ACE2 的相互作用显著增加了氨基酸之间的键合,提供了有关 S 蛋白进入 ACE2 的渗透的信息,从而为其高传染性提供了可能的解释。我们的发现使我们能够以更明显的原子水平细节呈现特定突变的影响,这有助于预测和/或减轻下一个关注变体的影响。