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Insights on the mutational landscape of the SARS-CoV-2 Omicron variant receptor-binding domain
The Omicron variant features enhanced transmissibility and antibody escape. Here, we describe the Omicron receptor-binding domain (RBD) mutational landscape using amino acid interaction (AAI) networks, which are well suited for interrogating constellations of mutations that function in an epistatic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784435/ https://www.ncbi.nlm.nih.gov/pubmed/35233548 http://dx.doi.org/10.1016/j.xcrm.2022.100527 |
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author | Miller, Nathaniel L. Clark, Thomas Raman, Rahul Sasisekharan, Ram |
author_facet | Miller, Nathaniel L. Clark, Thomas Raman, Rahul Sasisekharan, Ram |
author_sort | Miller, Nathaniel L. |
collection | PubMed |
description | The Omicron variant features enhanced transmissibility and antibody escape. Here, we describe the Omicron receptor-binding domain (RBD) mutational landscape using amino acid interaction (AAI) networks, which are well suited for interrogating constellations of mutations that function in an epistatic manner. Using AAI, we map Omicron mutations directly and indirectly driving increased escape breadth and depth in class 1–4 antibody epitopes. Further, we present epitope networks for authorized therapeutic antibodies and assess perturbations to each antibody’s epitope. Since our initial modeling following the identification of Omicron, these predictions have been realized by experimental findings of Omicron neutralization escape from therapeutic antibodies ADG20, AZD8895, and AZD1061. Importantly, the AAI predicted escape resulting from indirect epitope perturbations was not captured by previous sequence or point mutation analyses. Finally, for several Omicron RBD mutations, we find evidence for a plausible role in enhanced transmissibility via disruption of RBD-down conformational stability at the RBD(down)-RBD(down) interface. |
format | Online Article Text |
id | pubmed-8784435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87844352022-01-24 Insights on the mutational landscape of the SARS-CoV-2 Omicron variant receptor-binding domain Miller, Nathaniel L. Clark, Thomas Raman, Rahul Sasisekharan, Ram Cell Rep Med Report The Omicron variant features enhanced transmissibility and antibody escape. Here, we describe the Omicron receptor-binding domain (RBD) mutational landscape using amino acid interaction (AAI) networks, which are well suited for interrogating constellations of mutations that function in an epistatic manner. Using AAI, we map Omicron mutations directly and indirectly driving increased escape breadth and depth in class 1–4 antibody epitopes. Further, we present epitope networks for authorized therapeutic antibodies and assess perturbations to each antibody’s epitope. Since our initial modeling following the identification of Omicron, these predictions have been realized by experimental findings of Omicron neutralization escape from therapeutic antibodies ADG20, AZD8895, and AZD1061. Importantly, the AAI predicted escape resulting from indirect epitope perturbations was not captured by previous sequence or point mutation analyses. Finally, for several Omicron RBD mutations, we find evidence for a plausible role in enhanced transmissibility via disruption of RBD-down conformational stability at the RBD(down)-RBD(down) interface. Elsevier 2022-01-24 /pmc/articles/PMC8784435/ /pubmed/35233548 http://dx.doi.org/10.1016/j.xcrm.2022.100527 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Report Miller, Nathaniel L. Clark, Thomas Raman, Rahul Sasisekharan, Ram Insights on the mutational landscape of the SARS-CoV-2 Omicron variant receptor-binding domain |
title | Insights on the mutational landscape of the SARS-CoV-2 Omicron variant receptor-binding domain |
title_full | Insights on the mutational landscape of the SARS-CoV-2 Omicron variant receptor-binding domain |
title_fullStr | Insights on the mutational landscape of the SARS-CoV-2 Omicron variant receptor-binding domain |
title_full_unstemmed | Insights on the mutational landscape of the SARS-CoV-2 Omicron variant receptor-binding domain |
title_short | Insights on the mutational landscape of the SARS-CoV-2 Omicron variant receptor-binding domain |
title_sort | insights on the mutational landscape of the sars-cov-2 omicron variant receptor-binding domain |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784435/ https://www.ncbi.nlm.nih.gov/pubmed/35233548 http://dx.doi.org/10.1016/j.xcrm.2022.100527 |
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