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Deep learning application detecting SARS-CoV-2 key enzymes inhibitors

The fast spread of the COVID-19 over the world pressured scientists to find its cures. Especially, with the disastrous results, it engendered from human life losses to long-term impacts on infected people’s health and the huge financial losses. In addition to the massive efforts made by researchers...

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Autores principales: Benarous, Leila, Benarous, Khedidja, Muhammad, Ghulam, Ali, Zulfiqar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295888/
https://www.ncbi.nlm.nih.gov/pubmed/35874186
http://dx.doi.org/10.1007/s10586-022-03656-6
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author Benarous, Leila
Benarous, Khedidja
Muhammad, Ghulam
Ali, Zulfiqar
author_facet Benarous, Leila
Benarous, Khedidja
Muhammad, Ghulam
Ali, Zulfiqar
author_sort Benarous, Leila
collection PubMed
description The fast spread of the COVID-19 over the world pressured scientists to find its cures. Especially, with the disastrous results, it engendered from human life losses to long-term impacts on infected people’s health and the huge financial losses. In addition to the massive efforts made by researchers and medicals on finding safe, smart, fast, and efficient methods to accurately make an early diagnosis of the COVID-19. Some researchers focused on finding drugs to treat the disease and its symptoms, others worked on creating effective vaccines, while several concentrated on finding inhibitors for the key enzymes of the virus, to reduce its spreading and reproduction inside the human body. These enzymes’ inhibitors are usually found in aliments, plants, fungi, or even in some drugs. Since these inhibitors slow and halt the replication of the virus in the human body, they can help fight it at an early stage saving the patient from death risk. Moreover, if the human body’s immune system gets rid of the virus at the early stage it can be spared from the disastrous sequels it may leave inside the patient’s body. Our research aims to find aliments and plants that are rich in these inhibitors. In this paper, we developed a deep learning application that is trained with various aliments, plants, and drugs to detect if a component contains SARS-CoV-2 key inhibitor(s) intending to help them find more sources containing these inhibitors. The application is trained to identify various sources rich in thirteen coronavirus-2 key inhibitors. The sources are currently just aliments, plants, and seeds and the identification is done by their names.
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spelling pubmed-92958882022-07-20 Deep learning application detecting SARS-CoV-2 key enzymes inhibitors Benarous, Leila Benarous, Khedidja Muhammad, Ghulam Ali, Zulfiqar Cluster Comput Article The fast spread of the COVID-19 over the world pressured scientists to find its cures. Especially, with the disastrous results, it engendered from human life losses to long-term impacts on infected people’s health and the huge financial losses. In addition to the massive efforts made by researchers and medicals on finding safe, smart, fast, and efficient methods to accurately make an early diagnosis of the COVID-19. Some researchers focused on finding drugs to treat the disease and its symptoms, others worked on creating effective vaccines, while several concentrated on finding inhibitors for the key enzymes of the virus, to reduce its spreading and reproduction inside the human body. These enzymes’ inhibitors are usually found in aliments, plants, fungi, or even in some drugs. Since these inhibitors slow and halt the replication of the virus in the human body, they can help fight it at an early stage saving the patient from death risk. Moreover, if the human body’s immune system gets rid of the virus at the early stage it can be spared from the disastrous sequels it may leave inside the patient’s body. Our research aims to find aliments and plants that are rich in these inhibitors. In this paper, we developed a deep learning application that is trained with various aliments, plants, and drugs to detect if a component contains SARS-CoV-2 key inhibitor(s) intending to help them find more sources containing these inhibitors. The application is trained to identify various sources rich in thirteen coronavirus-2 key inhibitors. The sources are currently just aliments, plants, and seeds and the identification is done by their names. Springer US 2022-07-19 2023 /pmc/articles/PMC9295888/ /pubmed/35874186 http://dx.doi.org/10.1007/s10586-022-03656-6 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Benarous, Leila
Benarous, Khedidja
Muhammad, Ghulam
Ali, Zulfiqar
Deep learning application detecting SARS-CoV-2 key enzymes inhibitors
title Deep learning application detecting SARS-CoV-2 key enzymes inhibitors
title_full Deep learning application detecting SARS-CoV-2 key enzymes inhibitors
title_fullStr Deep learning application detecting SARS-CoV-2 key enzymes inhibitors
title_full_unstemmed Deep learning application detecting SARS-CoV-2 key enzymes inhibitors
title_short Deep learning application detecting SARS-CoV-2 key enzymes inhibitors
title_sort deep learning application detecting sars-cov-2 key enzymes inhibitors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295888/
https://www.ncbi.nlm.nih.gov/pubmed/35874186
http://dx.doi.org/10.1007/s10586-022-03656-6
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