An Omics Strategy for Translational Bioinformatics and Rapid COVID-19 Drug Repurposing

被引:0
|
作者
Revikumar, Amjesh [1 ]
机构
[1] Deemed be Univ, Ctr Integrat Om Data Sci, Yenepoya, Mangalore 575018, Karnataka, India
关键词
COVID-19; SARS-CoV-2; gene signature; drug repurposing; drug discovery; translational bioinformatics;
D O I
10.1089/omi.2022.0157
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
As COVID-19 continues to evolve around the world, there are unmet needs for rapid discovery, repurposing, and development of antiviral drugs. COVID-19 drug development is relevant for acute/pandemic context as well as the endemic disease with SARS-CoV-2 going forward. In the present study, the transcriptome data of the SARS-CoV-2-infected human lung cell lines were used to identify the signature genes for COVID-19 infection. A set of 14 genes was considered as gene signatures from the SARS-CoV-2-infected human bronchial epithelial cells and human alveolar epithelial cell lines. With a translational bioinformatics approach based on reversal of differentially expressed gene signatures, we found that four Food and Drug Administration-approved drugs offer potential for repurposing in a context of COVID-19: Mitomycin, 4-Guanidino-Benzoic Acid, Etretinate, and Staurosporine. We suggest that these drugs warrant further consideration for possible repurposing for the treatment of COVID-19. In summary, the present study underlines the ways in which an omics approach can be harnessed toward translational bioinformatics and rapid COVID-19 drug repurposing.
引用
收藏
页码:109 / 115
页数:7
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