Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
Comput Biol Med. 2022 Nov;150:106129. doi: 10.1016/j.compbiomed.2022.106129. Epub 2022 Sep 22.
The genome of SARS-CoV-2, is mutating rapidly and continuously challenging the management and preventive measures adopted and recommended by healthcare agencies. The spike protein is the main antigenic site that binds to the host receptor hACE-2 and is recognised by antibodies. Hence, the mutations in this site were analysed to assess their role in differential infectivity of lineages having these mutations, rendering the characterisation of these lineages as variants of concern (VOC) and variants of interest (VOI).
In this work, we examined the genome sequence of SARS-CoV-2 VOCs and their phylogenetic relationships with the other PANGOLIN lineages. The mutational landscape of WHO characterized variants was determined and mutational diversity was compared amongst the different severity groups. We then computationally studied the structural impact of the mutations in receptor binding domain of the VOCs. The binding affinity was quantitatively determined by molecular dynamics simulations and free energy calculations.
The mutational frequency, as well as phylogenetic distance, was maximum in the case of omicron followed by the delta variant. The maximum binding affinity was for delta variant followed by the Omicron variant. The increased binding affinity of delta strain followed by omicron as compared to other variants and wild type advocates high transmissibility and quick spread of these two variants and high severity of delta variant.
This study delivers a foundation for discovering the improved binding knacks and structural features of SARS-CoV-2 variants to plan novel therapeutics and vaccine candidates against the virus.
SARS-CoV-2 的基因组正在迅速突变,不断挑战着医疗机构所采取和推荐的管理和预防措施。刺突蛋白是与宿主受体 hACE-2 结合并被抗体识别的主要抗原位点。因此,分析了该位点的突变,以评估它们在具有这些突变的谱系中差异感染性中的作用,使这些谱系的特征成为关注变体 (VOC) 和感兴趣变体 (VOI)。
在这项工作中,我们检查了 SARS-CoV-2 VOC 的基因组序列及其与其他穿山甲谱系的系统发育关系。确定了世界卫生组织特征变体的突变景观,并比较了不同严重程度组之间的突变多样性。然后,我们通过分子动力学模拟和自由能计算计算了 VOC 受体结合域突变的结构影响。
突变频率以及进化距离在 omicron 病例中最高,其次是 delta 变体。delta 变体的最大结合亲和力最高,其次是奥密克戎变体。与其他变体和野生型相比,delta 株的结合亲和力增加,omicron 株的结合亲和力增加,这表明这两种变体具有较高的传染性和快速传播性,以及 delta 变体的高严重性。
这项研究为发现 SARS-CoV-2 变体的改进结合技巧和结构特征提供了基础,以规划针对该病毒的新型治疗方法和疫苗候选物。