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A Protein Co-Conservation Network Model Characterizes Mutation Effects on SARS-CoV-2 Spike Protein
The emergence of numerous variants of SARS-CoV-2 has presented challenges to the global efforts to control the COVID-19 pandemic. The major mutation is in the SARS-CoV-2 viral envelope spike protein that is responsible for virus attachment to the host, and is the main target for host antibodies. It...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960056/ https://www.ncbi.nlm.nih.gov/pubmed/36834664 http://dx.doi.org/10.3390/ijms24043255 |
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author | Zeng, Lianjie Lu, Yitan Yan, Wenying Yang, Yang |
author_facet | Zeng, Lianjie Lu, Yitan Yan, Wenying Yang, Yang |
author_sort | Zeng, Lianjie |
collection | PubMed |
description | The emergence of numerous variants of SARS-CoV-2 has presented challenges to the global efforts to control the COVID-19 pandemic. The major mutation is in the SARS-CoV-2 viral envelope spike protein that is responsible for virus attachment to the host, and is the main target for host antibodies. It is critically important to study the biological effects of the mutations to understand the mechanisms of how mutations alter viral functions. Here, we propose a protein co-conservation weighted network (PCCN) model only based on the protein sequence to characterize the mutation sites by topological features and to investigate the mutation effects on the spike protein from a network view. Frist, we found that the mutation sites on the spike protein had significantly larger centrality than the non-mutation sites. Second, the stability changes and binding free energy changes in the mutation sites were positively significantly correlated with their neighbors’ degree and the shortest path length separately. The results indicate that our PCCN model provides new insights into mutations on spike proteins and reflects the mutation effects on protein function alternations. |
format | Online Article Text |
id | pubmed-9960056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99600562023-02-26 A Protein Co-Conservation Network Model Characterizes Mutation Effects on SARS-CoV-2 Spike Protein Zeng, Lianjie Lu, Yitan Yan, Wenying Yang, Yang Int J Mol Sci Article The emergence of numerous variants of SARS-CoV-2 has presented challenges to the global efforts to control the COVID-19 pandemic. The major mutation is in the SARS-CoV-2 viral envelope spike protein that is responsible for virus attachment to the host, and is the main target for host antibodies. It is critically important to study the biological effects of the mutations to understand the mechanisms of how mutations alter viral functions. Here, we propose a protein co-conservation weighted network (PCCN) model only based on the protein sequence to characterize the mutation sites by topological features and to investigate the mutation effects on the spike protein from a network view. Frist, we found that the mutation sites on the spike protein had significantly larger centrality than the non-mutation sites. Second, the stability changes and binding free energy changes in the mutation sites were positively significantly correlated with their neighbors’ degree and the shortest path length separately. The results indicate that our PCCN model provides new insights into mutations on spike proteins and reflects the mutation effects on protein function alternations. MDPI 2023-02-07 /pmc/articles/PMC9960056/ /pubmed/36834664 http://dx.doi.org/10.3390/ijms24043255 Text en © 2023 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 Zeng, Lianjie Lu, Yitan Yan, Wenying Yang, Yang A Protein Co-Conservation Network Model Characterizes Mutation Effects on SARS-CoV-2 Spike Protein |
title | A Protein Co-Conservation Network Model Characterizes Mutation Effects on SARS-CoV-2 Spike Protein |
title_full | A Protein Co-Conservation Network Model Characterizes Mutation Effects on SARS-CoV-2 Spike Protein |
title_fullStr | A Protein Co-Conservation Network Model Characterizes Mutation Effects on SARS-CoV-2 Spike Protein |
title_full_unstemmed | A Protein Co-Conservation Network Model Characterizes Mutation Effects on SARS-CoV-2 Spike Protein |
title_short | A Protein Co-Conservation Network Model Characterizes Mutation Effects on SARS-CoV-2 Spike Protein |
title_sort | protein co-conservation network model characterizes mutation effects on sars-cov-2 spike protein |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960056/ https://www.ncbi.nlm.nih.gov/pubmed/36834664 http://dx.doi.org/10.3390/ijms24043255 |
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