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SARS-CoV-2 抗体识别受体结合域上的 23 个不同表位。

SARS-CoV-2 antibodies recognize 23 distinct epitopic sites on the receptor binding domain.

机构信息

Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA.

Computational Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA.

出版信息

Commun Biol. 2023 Sep 19;6(1):953. doi: 10.1038/s42003-023-05332-w.

Abstract

The COVID-19 pandemic and SARS-CoV-2 variants have dramatically illustrated the need for a better understanding of antigen (epitope)-antibody (paratope) interactions. To gain insight into the immunogenic characteristics of epitopic sites (ES), we systematically investigated the structures of 340 Abs and 83 nanobodies (Nbs) complexed with the Receptor Binding Domain (RBD) of the SARS-CoV-2 spike protein. We identified 23 distinct ES on the RBD surface and determined the frequencies of amino acid usage in the corresponding CDR paratopes. We describe a clustering method for analysis of ES similarities that reveals binding motifs of the paratopes and that provides insights for vaccine design and therapies for SARS-CoV-2, as well as a broader understanding of the structural basis of Ab-protein antigen (Ag) interactions.

摘要

新冠疫情和 SARS-CoV-2 变体清楚地表明,我们需要更好地理解抗原(表位)-抗体(互补位)相互作用。为了深入了解表位(epitopic site,ES)的免疫特性,我们系统地研究了 340 种抗体和 83 种纳米抗体(nanobody,Nbs)与 SARS-CoV-2 刺突蛋白受体结合域(receptor binding domain,RBD)复合物的结构。我们在 RBD 表面鉴定了 23 个不同的 ES,并确定了相应 CDR 互补位中氨基酸使用的频率。我们描述了一种用于分析 ES 相似性的聚类方法,该方法揭示了互补位的结合基序,并为 SARS-CoV-2 的疫苗设计和治疗提供了见解,也为抗体-蛋白抗原(antigen,Ag)相互作用的结构基础提供了更广泛的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e0c/10509263/4eedcb8fabfc/42003_2023_5332_Fig1_HTML.jpg

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