Meta-Data Analysis to Explore the Hub of the Hub-Genes That Influence SARS-CoV-2 Infections Highlighting Their Pathogenetic Processes and Drugs Repurposing
Article
Article Title | Meta-Data Analysis to Explore the Hub of the Hub-Genes That Influence SARS-CoV-2 Infections Highlighting Their Pathogenetic Processes and Drugs Repurposing |
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ERA Journal ID | 214428 |
Article Category | Article |
Authors | Mosharaf, Md. Parvez (Author), Kibria, Md. Kaderi (Author), Hossen, Md. Bayazid (Author), Islam, Md. Ariful (Author), Reza, Md. Selim (Author), Mahumud, Rashidul Alam (Author), Alam, Khorshed (Author), Gow, Jeffrey (Author) and Mollah, Md. Nurul Haque (Author) |
Journal Title | Vaccines |
Journal Citation | 10 (8), pp. 1-22 |
Article Number | 1248 |
Number of Pages | 22 |
Year | 2022 |
Publisher | MDPI AG |
Place of Publication | Switzerland |
ISSN | 2076-393X |
Digital Object Identifier (DOI) | https://doi.org/10.3390/vaccines10081248 |
Web Address (URL) | https://www.mdpi.com/2076-393X/10/8/1248 |
Abstract | The pandemic of SARS-CoV-2 infections is a severe threat to human life and the world economic condition. Although vaccination has reduced the outspread, but still the situation is not under control because of the instability of RNA sequence patterns of SARS-CoV-2, which requires effective drugs. Several studies have suggested that the SARS-CoV-2 infection causing hub differentially expressed genes (Hub-DEGs). However, we observed that there was not any common hub gene (Hub-DEGs) in our analyses. Therefore, it may be difficult to take a common treatment plan against SARS-CoV-2 infections globally. The goal of this study was to examine if more representative Hub-DEGs from published studies by means of hub of Hub-DEGs (hHub-DEGs) and associated potential candidate drugs. In this study, we reviewed 41 articles on transcriptomic data analysis of SARS-CoV-2 and found 370 unique hub genes or studied genes in total. Then, we selected 14 more representative Hub-DEGs (AKT1, APP, CXCL8, EGFR, IL6, INS, JUN, MAPK1, STAT3, TNF, TP53, UBA52, UBC, VEGFA) as hHub-DEGs by their protein-protein interaction analysis. Their associated biological functional processes, transcriptional, and post-transcriptional regulatory factors. Then we detected hHub-DEGs guided top-ranked nine candidate drug agents (Digoxin, Avermectin, Simeprevir, Nelfinavir Mesylate, Proscillaridin, Linifanib, Withaferin, Amuvatinib, Atazanavir) by molecular docking and cross-validation for treatment of SARS-CoV-2 infections. Therefore, the findings of this study could be useful in formulating a common treatment plan against SARS-CoV-2 infections globally. |
Keywords | SARS-CoV-2 infections; selection of drug targets and agents; drug repurposing;molecular docking and dynamic simulation |
ANZSRC Field of Research 2020 | 310202. Biological network analysis |
310505. Gene expression (incl. microarray and other genome-wide approaches) | |
340407. Proteins and peptides | |
Byline Affiliations | School of Business |
University of Rajshahi, Bangladesh | |
University of Sydney | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q79w2/meta-data-analysis-to-explore-the-hub-of-the-hub-genes-that-influence-sars-cov-2-infections-highlighting-their-pathogenetic-processes-and-drugs-repurposing
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15_Parvez_SARS-CoV-2_Meta_vaccines-10-01248.pdf | ||
License: CC BY 4.0 | ||
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