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Inferring SARS-CoV-2 functional genomics from viral transcriptome with identification of potential antiviral drugs and therapeutic targets

期刊

CELL AND BIOSCIENCE
卷 11, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s13578-021-00684-4

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资金

  1. National Natural Science Foundation of China [32170674]
  2. Natural Science Foundation of Heilongjiang Province, China [LH2020C05]

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This study systematically analyzed the transcription levels of SARS-CoV-2 genes and identified responsive human genes associated with virus infection. Various networks were constructed to discover potential antiviral targets, and several potential drugs for COVID-19 treatment were recognized, with proteasome inhibitors playing a crucial role. These results provide new insights into the functional genomics of SARS-CoV-2 and host-targeting antiviral strategies for infection.
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.

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