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10.1093/bib/bbaa173

http://scihub22266oqcxt.onion/10.1093/bib/bbaa173
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32778874!7454314!32778874
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suck abstract from ncbi


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pmid32778874      Brief+Bioinform 2021 ; 22 (2): 1175-1196
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  • Pathogenetic profiling of COVID-19 and SARS-like viruses #MMPMID32778874
  • Nain Z; Rana HK; Lio P; Islam SMS; Summers MA; Moni MA
  • Brief Bioinform 2021[Mar]; 22 (2): 1175-1196 PMID32778874show ga
  • The novel coronavirus (2019-nCoV) has recently emerged, causing COVID-19 outbreaks and significant societal/global disruption. Importantly, COVID-19 infection resembles SARS-like complications. However, the lack of knowledge about the underlying genetic mechanisms of COVID-19 warrants the development of prospective control measures. In this study, we employed whole-genome alignment and digital DNA-DNA hybridization analyses to assess genomic linkage between 2019-nCoV and other coronaviruses. To understand the pathogenetic behavior of 2019-nCoV, we compared gene expression datasets of viral infections closest to 2019-nCoV with four COVID-19 clinical presentations followed by functional enrichment of shared dysregulated genes. Potential chemical antagonists were also identified using protein-chemical interaction analysis. Based on phylogram analysis, the 2019-nCoV was found genetically closest to SARS-CoVs. In addition, we identified 562 upregulated and 738 downregulated genes (adj. P
  • |Antiviral Agents/therapeutic use[MESH]
  • |COVID-19 Drug Treatment[MESH]
  • |COVID-19/complications/*virology[MESH]
  • |Case-Control Studies[MESH]
  • |Comorbidity[MESH]
  • |Genome, Viral[MESH]
  • |Humans[MESH]
  • |MicroRNAs/metabolism[MESH]
  • |SARS-CoV-2/*pathogenicity[MESH]
  • |Severe acute respiratory syndrome-related coronavirus/genetics/*pathogenicity[MESH]


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