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Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps
The SARS-CoV-2 Omicron variant, with 15 mutations in Spike receptor binding domain (Spike-RBD), renders virtually all clinical monoclonal antibodies against WT SARS-CoV-2 ineffective. We recently engineered the SARS-CoV-2 host entry receptor, ACE2, to tightly bind WT-Spike-RBD and prevent viral entr...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387132/ https://www.ncbi.nlm.nih.gov/pubmed/35982665 http://dx.doi.org/10.1101/2022.08.09.503400 |
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author | Remesh, Soumya G. Merz, Gregory E. Brilot, Axel F. Chio, Un Seng Rizo, Alexandrea N. Pospiech, Thomas H. Lui, Irene Laurie, Mathew T. Glasgow, Jeff Le, Chau Q. Zhang, Yun Diwanji, Devan Hernandez, Evelyn Lopez, Jocelyne Pawar, Komal Ishwar Pourmal, Sergei Smith, Amber M. Zhou, Fengbo DeRisi, Joseph Kortemme, Tanja Rosenberg, Oren S. Glasgow, Anum Leung, Kevin K. Wells, James A. Verba, Kliment A. |
author_facet | Remesh, Soumya G. Merz, Gregory E. Brilot, Axel F. Chio, Un Seng Rizo, Alexandrea N. Pospiech, Thomas H. Lui, Irene Laurie, Mathew T. Glasgow, Jeff Le, Chau Q. Zhang, Yun Diwanji, Devan Hernandez, Evelyn Lopez, Jocelyne Pawar, Komal Ishwar Pourmal, Sergei Smith, Amber M. Zhou, Fengbo DeRisi, Joseph Kortemme, Tanja Rosenberg, Oren S. Glasgow, Anum Leung, Kevin K. Wells, James A. Verba, Kliment A. |
author_sort | Remesh, Soumya G. |
collection | PubMed |
description | The SARS-CoV-2 Omicron variant, with 15 mutations in Spike receptor binding domain (Spike-RBD), renders virtually all clinical monoclonal antibodies against WT SARS-CoV-2 ineffective. We recently engineered the SARS-CoV-2 host entry receptor, ACE2, to tightly bind WT-Spike-RBD and prevent viral entry into host cells (“receptor traps”). Here we determine cryo-EM structures of our receptor traps in complex with full length Spike. We develop a multi-model pipeline combining Rosetta protein modeling software and cryo-EM to allow interface energy calculations even at limited resolution and identify interface side chains that allow for high affinity interactions between our ACE2 receptor traps and Spike-RBD. Our structural analysis provides a mechanistic rationale for the high affinity (0.53 – 4.2nM) binding of our ACE2 receptor traps to Omicron-RBD confirmed with biolayer interferometry measurements. Finally, we show that ACE2 receptor traps potently neutralize Omicron- and Delta- pseudotyped viruses, providing alternative therapeutic routes to combat this evolving virus. |
format | Online Article Text |
id | pubmed-9387132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-93871322022-08-19 Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps Remesh, Soumya G. Merz, Gregory E. Brilot, Axel F. Chio, Un Seng Rizo, Alexandrea N. Pospiech, Thomas H. Lui, Irene Laurie, Mathew T. Glasgow, Jeff Le, Chau Q. Zhang, Yun Diwanji, Devan Hernandez, Evelyn Lopez, Jocelyne Pawar, Komal Ishwar Pourmal, Sergei Smith, Amber M. Zhou, Fengbo DeRisi, Joseph Kortemme, Tanja Rosenberg, Oren S. Glasgow, Anum Leung, Kevin K. Wells, James A. Verba, Kliment A. bioRxiv Article The SARS-CoV-2 Omicron variant, with 15 mutations in Spike receptor binding domain (Spike-RBD), renders virtually all clinical monoclonal antibodies against WT SARS-CoV-2 ineffective. We recently engineered the SARS-CoV-2 host entry receptor, ACE2, to tightly bind WT-Spike-RBD and prevent viral entry into host cells (“receptor traps”). Here we determine cryo-EM structures of our receptor traps in complex with full length Spike. We develop a multi-model pipeline combining Rosetta protein modeling software and cryo-EM to allow interface energy calculations even at limited resolution and identify interface side chains that allow for high affinity interactions between our ACE2 receptor traps and Spike-RBD. Our structural analysis provides a mechanistic rationale for the high affinity (0.53 – 4.2nM) binding of our ACE2 receptor traps to Omicron-RBD confirmed with biolayer interferometry measurements. Finally, we show that ACE2 receptor traps potently neutralize Omicron- and Delta- pseudotyped viruses, providing alternative therapeutic routes to combat this evolving virus. Cold Spring Harbor Laboratory 2022-08-10 /pmc/articles/PMC9387132/ /pubmed/35982665 http://dx.doi.org/10.1101/2022.08.09.503400 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Remesh, Soumya G. Merz, Gregory E. Brilot, Axel F. Chio, Un Seng Rizo, Alexandrea N. Pospiech, Thomas H. Lui, Irene Laurie, Mathew T. Glasgow, Jeff Le, Chau Q. Zhang, Yun Diwanji, Devan Hernandez, Evelyn Lopez, Jocelyne Pawar, Komal Ishwar Pourmal, Sergei Smith, Amber M. Zhou, Fengbo DeRisi, Joseph Kortemme, Tanja Rosenberg, Oren S. Glasgow, Anum Leung, Kevin K. Wells, James A. Verba, Kliment A. Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps |
title | Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps |
title_full | Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps |
title_fullStr | Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps |
title_full_unstemmed | Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps |
title_short | Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps |
title_sort | computational pipeline provides mechanistic understanding of omicron variant of concern neutralizing engineered ace2 receptor traps |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387132/ https://www.ncbi.nlm.nih.gov/pubmed/35982665 http://dx.doi.org/10.1101/2022.08.09.503400 |
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