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Modeling of the thermal properties of SARS-CoV-2 S-protein

We calculate the thermal and conformational states of the spike glycoprotein (S-protein) of SARS-CoV-2 at seven temperatures ranging from 3°C to 95°C by all-atom molecular dynamics (MD) µs-scale simulations with the objectives to understand the structural variations on the temperatures and to determ...

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Autores principales: Niu, Ziyuan, Hasegawa, Karin, Deng, Yuefan, Zhang, Ziji, Rafailovich, Miriam, Simon, Marcia, Zhang, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550926/
https://www.ncbi.nlm.nih.gov/pubmed/36237574
http://dx.doi.org/10.3389/fmolb.2022.953064
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author Niu, Ziyuan
Hasegawa, Karin
Deng, Yuefan
Zhang, Ziji
Rafailovich, Miriam
Simon, Marcia
Zhang, Peng
author_facet Niu, Ziyuan
Hasegawa, Karin
Deng, Yuefan
Zhang, Ziji
Rafailovich, Miriam
Simon, Marcia
Zhang, Peng
author_sort Niu, Ziyuan
collection PubMed
description We calculate the thermal and conformational states of the spike glycoprotein (S-protein) of SARS-CoV-2 at seven temperatures ranging from 3°C to 95°C by all-atom molecular dynamics (MD) µs-scale simulations with the objectives to understand the structural variations on the temperatures and to determine the potential phase transition while trying to correlate such findings of the S-protein with the observed properties of the SARS-CoV2. Our simulations revealed the following thermal properties of the S-protein: 1) It is structurally stable at 3°C, agreeing with observations that the virus stays active for more than two weeks in the cold supply chain; 2) Its structure varies more significantly at temperature values of 60°C–80°C; 3) The sharpest structural variations occur near 60°C, signaling a plausible critical temperature nearby; 4) The maximum deviation of the receptor-binding domain at 37°C, corroborating the anecdotal observations that the virus is most infective at 37°C; 5) The in silico data agree with reported experiments of the SARS-CoV-2 survival times from weeks to seconds by our clustering approach analysis. Our MD simulations at µs scales demonstrated the S-protein’s thermodynamics of the critical states at around 60°C, and the stable and denatured states for temperatures below and above this value, respectively.
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spelling pubmed-95509262022-10-12 Modeling of the thermal properties of SARS-CoV-2 S-protein Niu, Ziyuan Hasegawa, Karin Deng, Yuefan Zhang, Ziji Rafailovich, Miriam Simon, Marcia Zhang, Peng Front Mol Biosci Molecular Biosciences We calculate the thermal and conformational states of the spike glycoprotein (S-protein) of SARS-CoV-2 at seven temperatures ranging from 3°C to 95°C by all-atom molecular dynamics (MD) µs-scale simulations with the objectives to understand the structural variations on the temperatures and to determine the potential phase transition while trying to correlate such findings of the S-protein with the observed properties of the SARS-CoV2. Our simulations revealed the following thermal properties of the S-protein: 1) It is structurally stable at 3°C, agreeing with observations that the virus stays active for more than two weeks in the cold supply chain; 2) Its structure varies more significantly at temperature values of 60°C–80°C; 3) The sharpest structural variations occur near 60°C, signaling a plausible critical temperature nearby; 4) The maximum deviation of the receptor-binding domain at 37°C, corroborating the anecdotal observations that the virus is most infective at 37°C; 5) The in silico data agree with reported experiments of the SARS-CoV-2 survival times from weeks to seconds by our clustering approach analysis. Our MD simulations at µs scales demonstrated the S-protein’s thermodynamics of the critical states at around 60°C, and the stable and denatured states for temperatures below and above this value, respectively. Frontiers Media S.A. 2022-09-27 /pmc/articles/PMC9550926/ /pubmed/36237574 http://dx.doi.org/10.3389/fmolb.2022.953064 Text en Copyright © 2022 Niu, Hasegawa, Deng, Zhang, Rafailovich, Simon and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Niu, Ziyuan
Hasegawa, Karin
Deng, Yuefan
Zhang, Ziji
Rafailovich, Miriam
Simon, Marcia
Zhang, Peng
Modeling of the thermal properties of SARS-CoV-2 S-protein
title Modeling of the thermal properties of SARS-CoV-2 S-protein
title_full Modeling of the thermal properties of SARS-CoV-2 S-protein
title_fullStr Modeling of the thermal properties of SARS-CoV-2 S-protein
title_full_unstemmed Modeling of the thermal properties of SARS-CoV-2 S-protein
title_short Modeling of the thermal properties of SARS-CoV-2 S-protein
title_sort modeling of the thermal properties of sars-cov-2 s-protein
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550926/
https://www.ncbi.nlm.nih.gov/pubmed/36237574
http://dx.doi.org/10.3389/fmolb.2022.953064
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