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In Silico Discovery of Candidate Drugs against Covid-19

Previous studies reported that Angiotensin converting enzyme 2 (ACE2) is the main cell receptor of SARS-CoV and SARS-CoV-2. It plays a key role in the access of the virus into the cell to produce the final infection. In the present study we investigated in silico the basic mechanism of ACE2 in the l...

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Autores principales: Cava, Claudia, Bertoli, Gloria, Castiglioni, Isabella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232366/
https://www.ncbi.nlm.nih.gov/pubmed/32268515
http://dx.doi.org/10.3390/v12040404
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author Cava, Claudia
Bertoli, Gloria
Castiglioni, Isabella
author_facet Cava, Claudia
Bertoli, Gloria
Castiglioni, Isabella
author_sort Cava, Claudia
collection PubMed
description Previous studies reported that Angiotensin converting enzyme 2 (ACE2) is the main cell receptor of SARS-CoV and SARS-CoV-2. It plays a key role in the access of the virus into the cell to produce the final infection. In the present study we investigated in silico the basic mechanism of ACE2 in the lung and provided evidences for new potentially effective drugs for Covid-19. Specifically, we used the gene expression profiles from public datasets including The Cancer Genome Atlas, Gene Expression Omnibus and Genotype-Tissue Expression, Gene Ontology and pathway enrichment analysis to investigate the main functions of ACE2-correlated genes. We constructed a protein-protein interaction network containing the genes co-expressed with ACE2. Finally, we focused on the genes in the network that are already associated with known drugs and evaluated their role for a potential treatment of Covid-19. Our results demonstrate that the genes correlated with ACE2 are mainly enriched in the sterol biosynthetic process, Aryldialkylphosphatase activity, adenosylhomocysteinase activity, trialkylsulfonium hydrolase activity, acetate-CoA and CoA ligase activity. We identified a network of 193 genes, 222 interactions and 36 potential drugs that could have a crucial role. Among possible interesting drugs for Covid-19 treatment, we found Nimesulide, Fluticasone Propionate, Thiabendazole, Photofrin, Didanosine and Flutamide.
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spelling pubmed-72323662020-05-22 In Silico Discovery of Candidate Drugs against Covid-19 Cava, Claudia Bertoli, Gloria Castiglioni, Isabella Viruses Article Previous studies reported that Angiotensin converting enzyme 2 (ACE2) is the main cell receptor of SARS-CoV and SARS-CoV-2. It plays a key role in the access of the virus into the cell to produce the final infection. In the present study we investigated in silico the basic mechanism of ACE2 in the lung and provided evidences for new potentially effective drugs for Covid-19. Specifically, we used the gene expression profiles from public datasets including The Cancer Genome Atlas, Gene Expression Omnibus and Genotype-Tissue Expression, Gene Ontology and pathway enrichment analysis to investigate the main functions of ACE2-correlated genes. We constructed a protein-protein interaction network containing the genes co-expressed with ACE2. Finally, we focused on the genes in the network that are already associated with known drugs and evaluated their role for a potential treatment of Covid-19. Our results demonstrate that the genes correlated with ACE2 are mainly enriched in the sterol biosynthetic process, Aryldialkylphosphatase activity, adenosylhomocysteinase activity, trialkylsulfonium hydrolase activity, acetate-CoA and CoA ligase activity. We identified a network of 193 genes, 222 interactions and 36 potential drugs that could have a crucial role. Among possible interesting drugs for Covid-19 treatment, we found Nimesulide, Fluticasone Propionate, Thiabendazole, Photofrin, Didanosine and Flutamide. MDPI 2020-04-06 /pmc/articles/PMC7232366/ /pubmed/32268515 http://dx.doi.org/10.3390/v12040404 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cava, Claudia
Bertoli, Gloria
Castiglioni, Isabella
In Silico Discovery of Candidate Drugs against Covid-19
title In Silico Discovery of Candidate Drugs against Covid-19
title_full In Silico Discovery of Candidate Drugs against Covid-19
title_fullStr In Silico Discovery of Candidate Drugs against Covid-19
title_full_unstemmed In Silico Discovery of Candidate Drugs against Covid-19
title_short In Silico Discovery of Candidate Drugs against Covid-19
title_sort in silico discovery of candidate drugs against covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232366/
https://www.ncbi.nlm.nih.gov/pubmed/32268515
http://dx.doi.org/10.3390/v12040404
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