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In Silico Analysis of the Effects of Omicron Spike Amino Acid Changes on the Interactions with Human Proteins
The SARS-CoV-2 variant Omicron is characterized, among others, by more than 30 amino acid changes occurring on the spike glycoprotein with respect to the original SARS-CoV-2 spike protein. We report a comprehensive analysis of the effects of the Omicron spike amino acid changes in the interaction wi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370001/ https://www.ncbi.nlm.nih.gov/pubmed/35956778 http://dx.doi.org/10.3390/molecules27154827 |
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author | D’Arminio, Nancy Giordano, Deborah Scafuri, Bernardina Biancaniello, Carmen Petrillo, Mauro Facchiano, Angelo Marabotti, Anna |
author_facet | D’Arminio, Nancy Giordano, Deborah Scafuri, Bernardina Biancaniello, Carmen Petrillo, Mauro Facchiano, Angelo Marabotti, Anna |
author_sort | D’Arminio, Nancy |
collection | PubMed |
description | The SARS-CoV-2 variant Omicron is characterized, among others, by more than 30 amino acid changes occurring on the spike glycoprotein with respect to the original SARS-CoV-2 spike protein. We report a comprehensive analysis of the effects of the Omicron spike amino acid changes in the interaction with human antibodies, obtained by modeling them into selected publicly available resolved 3D structures of spike–antibody complexes and investigating the effects of these mutations at structural level. We predict that the interactions of Omicron spike with human antibodies can be either negatively or positively affected by amino acid changes, with a predicted total loss of interactions only in a few complexes. Moreover, our analysis applied also to the spike-ACE2 interaction predicts that these amino acid changes may increase Omicron transmissibility. Our approach can be used to better understand SARS-CoV-2 transmissibility, detectability, and epidemiology and represents a model to be adopted also in the case of other variants. |
format | Online Article Text |
id | pubmed-9370001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93700012022-08-12 In Silico Analysis of the Effects of Omicron Spike Amino Acid Changes on the Interactions with Human Proteins D’Arminio, Nancy Giordano, Deborah Scafuri, Bernardina Biancaniello, Carmen Petrillo, Mauro Facchiano, Angelo Marabotti, Anna Molecules Article The SARS-CoV-2 variant Omicron is characterized, among others, by more than 30 amino acid changes occurring on the spike glycoprotein with respect to the original SARS-CoV-2 spike protein. We report a comprehensive analysis of the effects of the Omicron spike amino acid changes in the interaction with human antibodies, obtained by modeling them into selected publicly available resolved 3D structures of spike–antibody complexes and investigating the effects of these mutations at structural level. We predict that the interactions of Omicron spike with human antibodies can be either negatively or positively affected by amino acid changes, with a predicted total loss of interactions only in a few complexes. Moreover, our analysis applied also to the spike-ACE2 interaction predicts that these amino acid changes may increase Omicron transmissibility. Our approach can be used to better understand SARS-CoV-2 transmissibility, detectability, and epidemiology and represents a model to be adopted also in the case of other variants. MDPI 2022-07-28 /pmc/articles/PMC9370001/ /pubmed/35956778 http://dx.doi.org/10.3390/molecules27154827 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article D’Arminio, Nancy Giordano, Deborah Scafuri, Bernardina Biancaniello, Carmen Petrillo, Mauro Facchiano, Angelo Marabotti, Anna In Silico Analysis of the Effects of Omicron Spike Amino Acid Changes on the Interactions with Human Proteins |
title | In Silico Analysis of the Effects of Omicron Spike Amino Acid Changes on the Interactions with Human Proteins |
title_full | In Silico Analysis of the Effects of Omicron Spike Amino Acid Changes on the Interactions with Human Proteins |
title_fullStr | In Silico Analysis of the Effects of Omicron Spike Amino Acid Changes on the Interactions with Human Proteins |
title_full_unstemmed | In Silico Analysis of the Effects of Omicron Spike Amino Acid Changes on the Interactions with Human Proteins |
title_short | In Silico Analysis of the Effects of Omicron Spike Amino Acid Changes on the Interactions with Human Proteins |
title_sort | in silico analysis of the effects of omicron spike amino acid changes on the interactions with human proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370001/ https://www.ncbi.nlm.nih.gov/pubmed/35956778 http://dx.doi.org/10.3390/molecules27154827 |
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