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In silico mutational analysis of ACE2 to check the susceptibility of lung cancer patients towards COVID-19
Being the second major cause of death worldwide, lung cancer poses a significant threat to the health of patients. This worsened during the era of pandemic since lung cancer is found to be more prone to SARS-CoV-2 infection. Many recent studies imply a high frequency of COVID-19 infection associated...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098448/ https://www.ncbi.nlm.nih.gov/pubmed/35552474 http://dx.doi.org/10.1038/s41598-022-11805-5 |
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author | Khalid, Zumama Khan, Abeedha Tu-Allah Alnajjar, Radwan Santali, Eman Shakoori, Abdul Rauf |
author_facet | Khalid, Zumama Khan, Abeedha Tu-Allah Alnajjar, Radwan Santali, Eman Shakoori, Abdul Rauf |
author_sort | Khalid, Zumama |
collection | PubMed |
description | Being the second major cause of death worldwide, lung cancer poses a significant threat to the health of patients. This worsened during the era of pandemic since lung cancer is found to be more prone to SARS-CoV-2 infection. Many recent studies imply a high frequency of COVID-19 infection associated severe outcome. However, molecular studies are still lacking in this respect. Hence the current study is designed to investigate the binding affinities of ACE2 lung cancer mutants with the viral spike protein to find the susceptibility of respective mutants carrying patients in catching the virus. Quite interestingly, our study found lesser binding affinities of all the selected mutants thus implying that these cancer patients might be less affected by the virus than others. These results are opposed to the recent studies’ propositions and open new avenues for more in-depth studies. |
format | Online Article Text |
id | pubmed-9098448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90984482022-05-14 In silico mutational analysis of ACE2 to check the susceptibility of lung cancer patients towards COVID-19 Khalid, Zumama Khan, Abeedha Tu-Allah Alnajjar, Radwan Santali, Eman Shakoori, Abdul Rauf Sci Rep Article Being the second major cause of death worldwide, lung cancer poses a significant threat to the health of patients. This worsened during the era of pandemic since lung cancer is found to be more prone to SARS-CoV-2 infection. Many recent studies imply a high frequency of COVID-19 infection associated severe outcome. However, molecular studies are still lacking in this respect. Hence the current study is designed to investigate the binding affinities of ACE2 lung cancer mutants with the viral spike protein to find the susceptibility of respective mutants carrying patients in catching the virus. Quite interestingly, our study found lesser binding affinities of all the selected mutants thus implying that these cancer patients might be less affected by the virus than others. These results are opposed to the recent studies’ propositions and open new avenues for more in-depth studies. Nature Publishing Group UK 2022-05-12 /pmc/articles/PMC9098448/ /pubmed/35552474 http://dx.doi.org/10.1038/s41598-022-11805-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Khalid, Zumama Khan, Abeedha Tu-Allah Alnajjar, Radwan Santali, Eman Shakoori, Abdul Rauf In silico mutational analysis of ACE2 to check the susceptibility of lung cancer patients towards COVID-19 |
title | In silico mutational analysis of ACE2 to check the susceptibility of lung cancer patients towards COVID-19 |
title_full | In silico mutational analysis of ACE2 to check the susceptibility of lung cancer patients towards COVID-19 |
title_fullStr | In silico mutational analysis of ACE2 to check the susceptibility of lung cancer patients towards COVID-19 |
title_full_unstemmed | In silico mutational analysis of ACE2 to check the susceptibility of lung cancer patients towards COVID-19 |
title_short | In silico mutational analysis of ACE2 to check the susceptibility of lung cancer patients towards COVID-19 |
title_sort | in silico mutational analysis of ace2 to check the susceptibility of lung cancer patients towards covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098448/ https://www.ncbi.nlm.nih.gov/pubmed/35552474 http://dx.doi.org/10.1038/s41598-022-11805-5 |
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