Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Khalid, Zumama, Khan, Abeedha Tu-Allah, Alnajjar, Radwan, Santali, Eman, Shakoori, Abdul Rauf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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
_version_ 1784706385489952768
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
work_keys_str_mv AT khalidzumama insilicomutationalanalysisoface2tocheckthesusceptibilityoflungcancerpatientstowardscovid19
AT khanabeedhatuallah insilicomutationalanalysisoface2tocheckthesusceptibilityoflungcancerpatientstowardscovid19
AT alnajjarradwan insilicomutationalanalysisoface2tocheckthesusceptibilityoflungcancerpatientstowardscovid19
AT santalieman insilicomutationalanalysisoface2tocheckthesusceptibilityoflungcancerpatientstowardscovid19
AT shakooriabdulrauf insilicomutationalanalysisoface2tocheckthesusceptibilityoflungcancerpatientstowardscovid19