Drug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis

Abstract Severe acute respiratory syndrome (SARS) is a highly contagious viral respiratory illness. This illness is spurred on by a coronavirus known as SARS-associated coronavirus (SARS-CoV). SARS was first detected in Asia in late February 2003. The genome of this virus is very similar to the SARS...

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Autores principales: Habib MotieGhader, Esmaeil Safavi, Ali Rezapour, Fatemeh Firouzi Amoodizaj, Roya asl Iranifam
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/8735a5f95a134ce383de74f1344a20bc
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spelling oai:doaj.org-article:8735a5f95a134ce383de74f1344a20bc2021-11-14T12:18:52ZDrug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis10.1038/s41598-021-01410-32045-2322https://doaj.org/article/8735a5f95a134ce383de74f1344a20bc2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01410-3https://doaj.org/toc/2045-2322Abstract Severe acute respiratory syndrome (SARS) is a highly contagious viral respiratory illness. This illness is spurred on by a coronavirus known as SARS-associated coronavirus (SARS-CoV). SARS was first detected in Asia in late February 2003. The genome of this virus is very similar to the SARS-CoV-2. Therefore, the study of SARS-CoV disease and the identification of effective drugs to treat this disease can be new clues for the treatment of SARS-Cov-2. This study aimed to discover novel potential drugs for SARS-CoV disease in order to treating SARS-Cov-2 disease based on a novel systems biology approach. To this end, gene co-expression network analysis was applied. First, the gene co-expression network was reconstructed for 1441 genes, and then two gene modules were discovered as significant modules. Next, a list of miRNAs and transcription factors that target gene co-expression modules' genes were gathered from the valid databases, and two sub-networks formed of transcription factors and miRNAs were established. Afterward, the list of the drugs targeting obtained sub-networks' genes was retrieved from the DGIDb database, and two drug-gene and drug-TF interaction networks were reconstructed. Finally, after conducting different network analyses, we proposed five drugs, including FLUOROURACIL, CISPLATIN, SIROLIMUS, CYCLOPHOSPHAMIDE, and METHYLDOPA, as candidate drugs for SARS-CoV-2 coronavirus treatment. Moreover, ten miRNAs including miR-193b, miR-192, miR-215, miR-34a, miR-16, miR-16, miR-92a, miR-30a, miR-7, and miR-26b were found to be significant miRNAs in treating SARS-CoV-2 coronavirus.Habib MotieGhaderEsmaeil SafaviAli RezapourFatemeh Firouzi AmoodizajRoya asl IranifamNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Habib MotieGhader
Esmaeil Safavi
Ali Rezapour
Fatemeh Firouzi Amoodizaj
Roya asl Iranifam
Drug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis
description Abstract Severe acute respiratory syndrome (SARS) is a highly contagious viral respiratory illness. This illness is spurred on by a coronavirus known as SARS-associated coronavirus (SARS-CoV). SARS was first detected in Asia in late February 2003. The genome of this virus is very similar to the SARS-CoV-2. Therefore, the study of SARS-CoV disease and the identification of effective drugs to treat this disease can be new clues for the treatment of SARS-Cov-2. This study aimed to discover novel potential drugs for SARS-CoV disease in order to treating SARS-Cov-2 disease based on a novel systems biology approach. To this end, gene co-expression network analysis was applied. First, the gene co-expression network was reconstructed for 1441 genes, and then two gene modules were discovered as significant modules. Next, a list of miRNAs and transcription factors that target gene co-expression modules' genes were gathered from the valid databases, and two sub-networks formed of transcription factors and miRNAs were established. Afterward, the list of the drugs targeting obtained sub-networks' genes was retrieved from the DGIDb database, and two drug-gene and drug-TF interaction networks were reconstructed. Finally, after conducting different network analyses, we proposed five drugs, including FLUOROURACIL, CISPLATIN, SIROLIMUS, CYCLOPHOSPHAMIDE, and METHYLDOPA, as candidate drugs for SARS-CoV-2 coronavirus treatment. Moreover, ten miRNAs including miR-193b, miR-192, miR-215, miR-34a, miR-16, miR-16, miR-92a, miR-30a, miR-7, and miR-26b were found to be significant miRNAs in treating SARS-CoV-2 coronavirus.
format article
author Habib MotieGhader
Esmaeil Safavi
Ali Rezapour
Fatemeh Firouzi Amoodizaj
Roya asl Iranifam
author_facet Habib MotieGhader
Esmaeil Safavi
Ali Rezapour
Fatemeh Firouzi Amoodizaj
Roya asl Iranifam
author_sort Habib MotieGhader
title Drug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis
title_short Drug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis
title_full Drug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis
title_fullStr Drug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis
title_full_unstemmed Drug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis
title_sort drug repurposing for coronavirus (sars-cov-2) based on gene co-expression network analysis
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/8735a5f95a134ce383de74f1344a20bc
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