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Evolution of Stronger SARS-CoV-2 Variants as Revealed Through the Lens of Molecular Dynamics Simulations

Using molecular dynamics simulations, the protein–protein interactions of the receptor-binding domain of the wild-type and seven variants of the severe acute respiratory syndrome coronavirus 2 spike protein and the peptidase domain of human angiotensin-converting enzyme 2 were investigated. These va...

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Autores principales: Wozney, Alec J., Smith, Macey A., Abdrabbo, Mobeen, Birch, Cole M., Cicigoi, Kelsey A., Dolan, Connor C., Gerzema, Audrey E. L., Hansen, Abby, Henseler, Ethan J., LaBerge, Ben, Leavens, Caterra M., Le, Christine N., Lindquist, Allison C., Ludwig, Rikaela K., O’Reilly, Maggie G., Reynolds, Jacob H., Sherman, Brandon A., Sillman, Hunter W., Smith, Michael A., Snortheim, Marissa J., Svaren, Levi M., Vanderpas, Emily C., Voon, Aidan, Wackett, Miles J., Weiss, Moriah M., Hati, Sanchita, Bhattacharyya, Sudeep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340756/
https://www.ncbi.nlm.nih.gov/pubmed/35913554
http://dx.doi.org/10.1007/s10930-022-10065-6
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author Wozney, Alec J.
Smith, Macey A.
Abdrabbo, Mobeen
Birch, Cole M.
Cicigoi, Kelsey A.
Dolan, Connor C.
Gerzema, Audrey E. L.
Hansen, Abby
Henseler, Ethan J.
LaBerge, Ben
Leavens, Caterra M.
Le, Christine N.
Lindquist, Allison C.
Ludwig, Rikaela K.
O’Reilly, Maggie G.
Reynolds, Jacob H.
Sherman, Brandon A.
Sillman, Hunter W.
Smith, Michael A.
Snortheim, Marissa J.
Svaren, Levi M.
Vanderpas, Emily C.
Voon, Aidan
Wackett, Miles J.
Weiss, Moriah M.
Hati, Sanchita
Bhattacharyya, Sudeep
author_facet Wozney, Alec J.
Smith, Macey A.
Abdrabbo, Mobeen
Birch, Cole M.
Cicigoi, Kelsey A.
Dolan, Connor C.
Gerzema, Audrey E. L.
Hansen, Abby
Henseler, Ethan J.
LaBerge, Ben
Leavens, Caterra M.
Le, Christine N.
Lindquist, Allison C.
Ludwig, Rikaela K.
O’Reilly, Maggie G.
Reynolds, Jacob H.
Sherman, Brandon A.
Sillman, Hunter W.
Smith, Michael A.
Snortheim, Marissa J.
Svaren, Levi M.
Vanderpas, Emily C.
Voon, Aidan
Wackett, Miles J.
Weiss, Moriah M.
Hati, Sanchita
Bhattacharyya, Sudeep
author_sort Wozney, Alec J.
collection PubMed
description Using molecular dynamics simulations, the protein–protein interactions of the receptor-binding domain of the wild-type and seven variants of the severe acute respiratory syndrome coronavirus 2 spike protein and the peptidase domain of human angiotensin-converting enzyme 2 were investigated. These variants are alpha, beta, gamma, delta, eta, kappa, and omicron. Using 100 ns simulation data, the residue interaction networks at the protein–protein interface were identified. Also, the impact of mutations on essential protein dynamics, backbone flexibility, and interaction energy of the simulated protein–protein complexes were studied. The protein–protein interface for the wild-type, delta, and omicron variants contained several stronger interactions, while the alpha, beta, gamma, eta, and kappa variants exhibited an opposite scenario as evident from the analysis of the inter-residue interaction distances and pair-wise interaction energies. The study reveals that two distinct residue networks at the central and right contact regions forge stronger binding affinity between the protein partners. The study provides a molecular-level insight into how enhanced transmissibility and infectivity by delta and omicron variants are most likely tied to a handful of interacting residues at the binding interface, which could potentially be utilized for future antibody constructs and structure-based antiviral drug design. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10930-022-10065-6.
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spelling pubmed-93407562022-08-01 Evolution of Stronger SARS-CoV-2 Variants as Revealed Through the Lens of Molecular Dynamics Simulations Wozney, Alec J. Smith, Macey A. Abdrabbo, Mobeen Birch, Cole M. Cicigoi, Kelsey A. Dolan, Connor C. Gerzema, Audrey E. L. Hansen, Abby Henseler, Ethan J. LaBerge, Ben Leavens, Caterra M. Le, Christine N. Lindquist, Allison C. Ludwig, Rikaela K. O’Reilly, Maggie G. Reynolds, Jacob H. Sherman, Brandon A. Sillman, Hunter W. Smith, Michael A. Snortheim, Marissa J. Svaren, Levi M. Vanderpas, Emily C. Voon, Aidan Wackett, Miles J. Weiss, Moriah M. Hati, Sanchita Bhattacharyya, Sudeep Protein J Article Using molecular dynamics simulations, the protein–protein interactions of the receptor-binding domain of the wild-type and seven variants of the severe acute respiratory syndrome coronavirus 2 spike protein and the peptidase domain of human angiotensin-converting enzyme 2 were investigated. These variants are alpha, beta, gamma, delta, eta, kappa, and omicron. Using 100 ns simulation data, the residue interaction networks at the protein–protein interface were identified. Also, the impact of mutations on essential protein dynamics, backbone flexibility, and interaction energy of the simulated protein–protein complexes were studied. The protein–protein interface for the wild-type, delta, and omicron variants contained several stronger interactions, while the alpha, beta, gamma, eta, and kappa variants exhibited an opposite scenario as evident from the analysis of the inter-residue interaction distances and pair-wise interaction energies. The study reveals that two distinct residue networks at the central and right contact regions forge stronger binding affinity between the protein partners. The study provides a molecular-level insight into how enhanced transmissibility and infectivity by delta and omicron variants are most likely tied to a handful of interacting residues at the binding interface, which could potentially be utilized for future antibody constructs and structure-based antiviral drug design. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10930-022-10065-6. Springer US 2022-08-01 2022 /pmc/articles/PMC9340756/ /pubmed/35913554 http://dx.doi.org/10.1007/s10930-022-10065-6 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Wozney, Alec J.
Smith, Macey A.
Abdrabbo, Mobeen
Birch, Cole M.
Cicigoi, Kelsey A.
Dolan, Connor C.
Gerzema, Audrey E. L.
Hansen, Abby
Henseler, Ethan J.
LaBerge, Ben
Leavens, Caterra M.
Le, Christine N.
Lindquist, Allison C.
Ludwig, Rikaela K.
O’Reilly, Maggie G.
Reynolds, Jacob H.
Sherman, Brandon A.
Sillman, Hunter W.
Smith, Michael A.
Snortheim, Marissa J.
Svaren, Levi M.
Vanderpas, Emily C.
Voon, Aidan
Wackett, Miles J.
Weiss, Moriah M.
Hati, Sanchita
Bhattacharyya, Sudeep
Evolution of Stronger SARS-CoV-2 Variants as Revealed Through the Lens of Molecular Dynamics Simulations
title Evolution of Stronger SARS-CoV-2 Variants as Revealed Through the Lens of Molecular Dynamics Simulations
title_full Evolution of Stronger SARS-CoV-2 Variants as Revealed Through the Lens of Molecular Dynamics Simulations
title_fullStr Evolution of Stronger SARS-CoV-2 Variants as Revealed Through the Lens of Molecular Dynamics Simulations
title_full_unstemmed Evolution of Stronger SARS-CoV-2 Variants as Revealed Through the Lens of Molecular Dynamics Simulations
title_short Evolution of Stronger SARS-CoV-2 Variants as Revealed Through the Lens of Molecular Dynamics Simulations
title_sort evolution of stronger sars-cov-2 variants as revealed through the lens of molecular dynamics simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340756/
https://www.ncbi.nlm.nih.gov/pubmed/35913554
http://dx.doi.org/10.1007/s10930-022-10065-6
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