Ashoor Dana, Marzouq Maryam, Fathallah M-Dahmani
Department of Life Sciences, Health Biotechnology Program - King Fahad Chair for Health Biotechnology, College of Graduate Studies, Arabian Gulf University, Manama, Bahrain.
JMIR Bioinform Biotechnol. 2024 Oct 10;5:e58018. doi: 10.2196/58018.
The rapid evolution of SARS-CoV-2 imposed a huge challenge on disease control. Immune evasion caused by genetic variations of the SARS-CoV-2 spike protein's immunogenic epitopes affects the efficiency of monoclonal antibody-based therapy of COVID-19. Therefore, a rapid method is needed to evaluate the efficacy of the available monoclonal antibodies against the new emerging variants or potential novel variants.
The aim of this study is to develop a rapid computational method to evaluate the neutralization power of anti-SARS-CoV-2 monoclonal antibodies against new SARS-CoV-2 variants and other potential new mutations.
The amino acid sequence of the extracellular domain of the spike proteins of the severe acute respiratory syndrome coronavirus (GenBank accession number YP_009825051.1) and SARS-CoV-2 (GenBank accession number YP_009724390.1) were used to create computational 3D models for the native spike proteins. Specific mutations were introduced to the curated sequence to generate the different variant spike models. The neutralization potential of sotrovimab (S309) against these variants was evaluated based on its molecular interactions and Gibbs free energy in comparison to a reference model after molecular replacement of the reference receptor-binding domain with the variant's receptor-binding domain.
Our results show a loss in the binding affinity of the neutralizing antibody S309 with both SARS-CoV and SARS-CoV-2. The binding affinity of S309 was greater to the Alpha, Beta, Gamma, and Kappa variants than to the original Wuhan strain of SARS-CoV-2. However, S309 showed a substantially decreased binding affinity to the Delta and Omicron variants. Based on the mutational profile of Omicron subvariants, our data describe the effect of the G339H and G339D mutations and their role in escaping antibody neutralization, which is in line with published clinical reports.
This method is rapid, applicable, and of interest to adapt the use of therapeutic antibodies to the treatment of emerging variants. It could be applied to antibody-based treatment of other viral infections.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的快速进化给疾病控制带来了巨大挑战。SARS-CoV-2刺突蛋白免疫原性表位的基因变异导致的免疫逃逸影响了基于单克隆抗体的新型冠状病毒肺炎(COVID-19)治疗效果。因此,需要一种快速方法来评估现有单克隆抗体对新出现变异株或潜在新变异株的疗效。
本研究旨在开发一种快速计算方法,以评估抗SARS-CoV-2单克隆抗体对新型SARS-CoV-2变异株和其他潜在新突变的中和能力。
利用严重急性呼吸综合征冠状病毒(GenBank登录号YP_009825051.1)和SARS-CoV-2(GenBank登录号YP_009724390.1)刺突蛋白胞外域的氨基酸序列,为天然刺突蛋白创建计算三维模型。对整理后的序列引入特定突变,以生成不同的变异刺突模型。在将参考受体结合域用变异株的受体结合域进行分子置换后,基于索托维单抗(S309)的分子相互作用和吉布斯自由能,评估其对这些变异株的中和潜力,并与参考模型进行比较。
我们的结果显示,中和抗体S309与SARS-CoV和SARS-CoV-2的结合亲和力均有所下降。S309与α、β、γ和κ变异株的结合亲和力高于原始的SARS-CoV-2武汉株。然而,S309与德尔塔和奥密克戎变异株的结合亲和力大幅下降。基于奥密克戎亚变异株的突变谱,我们的数据描述了G339H和G339D突变的影响及其在逃避抗体中和中的作用,这与已发表的临床报告一致。
该方法快速、适用,对于调整治疗性抗体用于治疗新出现变异株具有重要意义。它可应用于基于抗体的其他病毒感染治疗。