Assessment of asthma treatment against SARS CoV-2 by using a computer approach

The disease caused by the coronavirus is called COVID-19. The degree of infection varies from one person to another. According to the data collected to date, people with asthma and obesity are over-represented among adults hospitalized for COVID-19. The reason is very simple: COVID-19 is a disease t...

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Autores principales:	Hajji Halima, El Khatabi Khalil, Zaki Hanane, En-nahli Fatima, Hajji Lhossain, Lakhlifi Tahar, Ajana Mohammed Aziz, Bouachrine Mohammed
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/1c9ff83e14e44d0d952d81a9ac92f329
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spelling	oai:doaj.org-article:1c9ff83e14e44d0d952d81a9ac92f3292021-11-12T11:44:08ZAssessment of asthma treatment against SARS CoV-2 by using a computer approach2267-124210.1051/e3sconf/202131901024https://doaj.org/article/1c9ff83e14e44d0d952d81a9ac92f3292021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/95/e3sconf_vigisan_01024.pdfhttps://doaj.org/toc/2267-1242The disease caused by the coronavirus is called COVID-19. The degree of infection varies from one person to another. According to the data collected to date, people with asthma and obesity are over-represented among adults hospitalized for COVID-19. The reason is very simple: COVID-19 is a disease that particularly attacks the respiratory system, including the lungs. This pandemic has led us to return to plants. Modern medicine has found its success thanks to traditional medicine, the effectiveness of which comes from medicinal plants. Currently, in China, many people believe in the miraculous power of plants, boosting their immunity to protect against asthma. Therefore, this work aimed to study components of natural origin that have an anti-asthma effect that can be considered as the panacea against Covid-19, by using the most important method, which is molecular docking. In this research, we performed a molecular docking study on molecules naturally occurring molecules based on the recently crystallized SARS CoV-2 protein (pdb code 7C6S). ADMET prediction was performed for the selected inhibitors. The results of molecular docking and ADMET prediction support the potential of the five selected molecules to be further developed as novel inhibitors for the treatment of SARS CoV-2.Hajji HalimaEl Khatabi KhalilZaki HananeEn-nahli FatimaHajji LhossainLakhlifi TaharAjana Mohammed AzizBouachrine MohammedEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 319, p 01024 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Hajji Halima El Khatabi Khalil Zaki Hanane En-nahli Fatima Hajji Lhossain Lakhlifi Tahar Ajana Mohammed Aziz Bouachrine Mohammed Assessment of asthma treatment against SARS CoV-2 by using a computer approach
description	The disease caused by the coronavirus is called COVID-19. The degree of infection varies from one person to another. According to the data collected to date, people with asthma and obesity are over-represented among adults hospitalized for COVID-19. The reason is very simple: COVID-19 is a disease that particularly attacks the respiratory system, including the lungs. This pandemic has led us to return to plants. Modern medicine has found its success thanks to traditional medicine, the effectiveness of which comes from medicinal plants. Currently, in China, many people believe in the miraculous power of plants, boosting their immunity to protect against asthma. Therefore, this work aimed to study components of natural origin that have an anti-asthma effect that can be considered as the panacea against Covid-19, by using the most important method, which is molecular docking. In this research, we performed a molecular docking study on molecules naturally occurring molecules based on the recently crystallized SARS CoV-2 protein (pdb code 7C6S). ADMET prediction was performed for the selected inhibitors. The results of molecular docking and ADMET prediction support the potential of the five selected molecules to be further developed as novel inhibitors for the treatment of SARS CoV-2.
format	article
author	Hajji Halima El Khatabi Khalil Zaki Hanane En-nahli Fatima Hajji Lhossain Lakhlifi Tahar Ajana Mohammed Aziz Bouachrine Mohammed
author_facet	Hajji Halima El Khatabi Khalil Zaki Hanane En-nahli Fatima Hajji Lhossain Lakhlifi Tahar Ajana Mohammed Aziz Bouachrine Mohammed
author_sort	Hajji Halima
title	Assessment of asthma treatment against SARS CoV-2 by using a computer approach
title_short	Assessment of asthma treatment against SARS CoV-2 by using a computer approach
title_full	Assessment of asthma treatment against SARS CoV-2 by using a computer approach
title_fullStr	Assessment of asthma treatment against SARS CoV-2 by using a computer approach
title_full_unstemmed	Assessment of asthma treatment against SARS CoV-2 by using a computer approach
title_sort	assessment of asthma treatment against sars cov-2 by using a computer approach
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/1c9ff83e14e44d0d952d81a9ac92f329
work_keys_str_mv	AT hajjihalima assessmentofasthmatreatmentagainstsarscov2byusingacomputerapproach AT elkhatabikhalil assessmentofasthmatreatmentagainstsarscov2byusingacomputerapproach AT zakihanane assessmentofasthmatreatmentagainstsarscov2byusingacomputerapproach AT ennahlifatima assessmentofasthmatreatmentagainstsarscov2byusingacomputerapproach AT hajjilhossain assessmentofasthmatreatmentagainstsarscov2byusingacomputerapproach AT lakhlifitahar assessmentofasthmatreatmentagainstsarscov2byusingacomputerapproach AT ajanamohammedaziz assessmentofasthmatreatmentagainstsarscov2byusingacomputerapproach AT bouachrinemohammed assessmentofasthmatreatmentagainstsarscov2byusingacomputerapproach
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Assessment of asthma treatment against SARS CoV-2 by using a computer approach

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