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Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants
Coronavirus disease 2019, caused by SARS-CoV-2, remains an on-going pandemic, partly due to the emergence of variant viruses that can “break-through” the protection of the current vaccines and neutralizing antibodies (nAbs), highlighting the needs for broadly nAbs and next-generation vaccines. We re...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Taylor & Francis
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765073/ https://www.ncbi.nlm.nih.gov/pubmed/35030983 http://dx.doi.org/10.1080/19420862.2021.2021601 |
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author | Jeong, Bo-Seong Cha, Jeong Seok Hwang, Insu Kim, Uijin Adolf-Bryfogle, Jared Coventry, Brian Cho, Hyun-Soo Kim, Kyun-Do Oh, Byung-Ha |
author_facet | Jeong, Bo-Seong Cha, Jeong Seok Hwang, Insu Kim, Uijin Adolf-Bryfogle, Jared Coventry, Brian Cho, Hyun-Soo Kim, Kyun-Do Oh, Byung-Ha |
author_sort | Jeong, Bo-Seong |
collection | PubMed |
description | Coronavirus disease 2019, caused by SARS-CoV-2, remains an on-going pandemic, partly due to the emergence of variant viruses that can “break-through” the protection of the current vaccines and neutralizing antibodies (nAbs), highlighting the needs for broadly nAbs and next-generation vaccines. We report an antibody that exhibits breadth and potency in binding the receptor-binding domain (RBD) of the virus spike glycoprotein across SARS coronaviruses. Initially, a lead antibody was computationally discovered and crystallographically validated that binds to a highly conserved surface of the RBD of wild-type SARS-CoV-2. Subsequently, through experimental affinity enhancement and computational affinity maturation, it was further developed to bind the RBD of all concerning SARS-CoV-2 variants, SARS-CoV-1 and pangolin coronavirus with pico-molar binding affinities, consistently exhibited strong neutralization activity against wild-type SARS-CoV-2 and the Alpha and Delta variants. These results identify a vulnerable target site on coronaviruses for development of pan-sarbecovirus nAbs and vaccines. |
format | Online Article Text |
id | pubmed-8765073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-87650732022-01-19 Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants Jeong, Bo-Seong Cha, Jeong Seok Hwang, Insu Kim, Uijin Adolf-Bryfogle, Jared Coventry, Brian Cho, Hyun-Soo Kim, Kyun-Do Oh, Byung-Ha MAbs Report Coronavirus disease 2019, caused by SARS-CoV-2, remains an on-going pandemic, partly due to the emergence of variant viruses that can “break-through” the protection of the current vaccines and neutralizing antibodies (nAbs), highlighting the needs for broadly nAbs and next-generation vaccines. We report an antibody that exhibits breadth and potency in binding the receptor-binding domain (RBD) of the virus spike glycoprotein across SARS coronaviruses. Initially, a lead antibody was computationally discovered and crystallographically validated that binds to a highly conserved surface of the RBD of wild-type SARS-CoV-2. Subsequently, through experimental affinity enhancement and computational affinity maturation, it was further developed to bind the RBD of all concerning SARS-CoV-2 variants, SARS-CoV-1 and pangolin coronavirus with pico-molar binding affinities, consistently exhibited strong neutralization activity against wild-type SARS-CoV-2 and the Alpha and Delta variants. These results identify a vulnerable target site on coronaviruses for development of pan-sarbecovirus nAbs and vaccines. Taylor & Francis 2022-01-14 /pmc/articles/PMC8765073/ /pubmed/35030983 http://dx.doi.org/10.1080/19420862.2021.2021601 Text en © 2022 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Report Jeong, Bo-Seong Cha, Jeong Seok Hwang, Insu Kim, Uijin Adolf-Bryfogle, Jared Coventry, Brian Cho, Hyun-Soo Kim, Kyun-Do Oh, Byung-Ha Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants |
title | Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants |
title_full | Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants |
title_fullStr | Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants |
title_full_unstemmed | Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants |
title_short | Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants |
title_sort | computational design of a neutralizing antibody with picomolar binding affinity for all concerning sars-cov-2 variants |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765073/ https://www.ncbi.nlm.nih.gov/pubmed/35030983 http://dx.doi.org/10.1080/19420862.2021.2021601 |
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