Cargando…

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

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. T...

Descripción completa

Detalles Bibliográficos
Autores principales: MotieGhader, Habib, Safavi, Esmaeil, Rezapour, Ali, Amoodizaj, Fatemeh Firouzi, Iranifam, Roya asl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576023/
https://www.ncbi.nlm.nih.gov/pubmed/34750486
http://dx.doi.org/10.1038/s41598-021-01410-3
_version_ 1784595798769532928
author MotieGhader, Habib
Safavi, Esmaeil
Rezapour, Ali
Amoodizaj, Fatemeh Firouzi
Iranifam, Roya asl
author_facet MotieGhader, Habib
Safavi, Esmaeil
Rezapour, Ali
Amoodizaj, Fatemeh Firouzi
Iranifam, Roya asl
author_sort MotieGhader, Habib
collection PubMed
description 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 Online
Article
Text
id pubmed-8576023
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-85760232021-11-10 Drug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis MotieGhader, Habib Safavi, Esmaeil Rezapour, Ali Amoodizaj, Fatemeh Firouzi Iranifam, Roya asl Sci Rep Article 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. Nature Publishing Group UK 2021-11-08 /pmc/articles/PMC8576023/ /pubmed/34750486 http://dx.doi.org/10.1038/s41598-021-01410-3 Text en © The Author(s) 2021 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
MotieGhader, Habib
Safavi, Esmaeil
Rezapour, Ali
Amoodizaj, Fatemeh Firouzi
Iranifam, Roya asl
Drug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576023/
https://www.ncbi.nlm.nih.gov/pubmed/34750486
http://dx.doi.org/10.1038/s41598-021-01410-3
work_keys_str_mv AT motieghaderhabib drugrepurposingforcoronavirussarscov2basedongenecoexpressionnetworkanalysis
AT safaviesmaeil drugrepurposingforcoronavirussarscov2basedongenecoexpressionnetworkanalysis
AT rezapourali drugrepurposingforcoronavirussarscov2basedongenecoexpressionnetworkanalysis
AT amoodizajfatemehfirouzi drugrepurposingforcoronavirussarscov2basedongenecoexpressionnetworkanalysis
AT iranifamroyaasl drugrepurposingforcoronavirussarscov2basedongenecoexpressionnetworkanalysis