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Inferring SARS-CoV-2 functional genomics from viral transcriptome with identification of potential antiviral drugs and therapeutic targets.
Pan, Xu; Li, Xin; Ning, Shangwei; Zhi, Hui.
  • Pan X; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Li X; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Ning S; Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
  • Zhi H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. ningsw@ems.hrbmu.edu.cn.
Cell Biosci ; 11(1): 171, 2021 Sep 08.
Article in English | MEDLINE | ID: covidwho-1403259
ABSTRACT
Coronavirus disease 2019 (COVID-19) is an emerging infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and has posed a serious threat to global health. Here, we systematically characterized the transcription levels of the SARS-CoV-2 genes and identified the responsive human genes associated with virus infection. We inferred the possible biological functions of each viral gene and depicted the functional landscape based on guilt-by-association and functional enrichment analyses. Subsequently, the transcription factor regulatory network, protein-protein interaction network, and non-coding RNA regulatory network were constructed to discover more potential antiviral targets. In addition, several potential drugs for COVID-19 treatment and prevention were recognized, including known cell proliferation-related, immune-related, and antiviral drugs, in which proteasome inhibitors (bortezomib, carfilzomib, and ixazomib citrate) may play an important role in the treatment of COVID-19. These results provided novel insights into the understanding of SARS-CoV-2 functional genomics and host-targeting antiviral strategies for SARS-CoV-2 infection.

Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Cell Biosci Year: 2021 Document Type: Article Affiliation country: S13578-021-00684-4

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Cell Biosci Year: 2021 Document Type: Article Affiliation country: S13578-021-00684-4