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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2022
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.
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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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