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Immune evasion of SARS-CoV-2 from interferon antiviral system.
Min, Yuan-Qin; Huang, Mengzhuo; Sun, Xiulian; Deng, Fei; Wang, Hualin; Ning, Yun-Jia.
  • Min YQ; State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071/430207, China.
  • Huang M; Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan 430071/430207, China.
  • Sun X; State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071/430207, China.
  • Deng F; University of Chinese Academy of Sciences, Beijing 101408, China.
  • Wang H; State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071/430207, China.
  • Ning YJ; Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan 430071/430207, China.
Comput Struct Biotechnol J ; 19: 4217-4225, 2021.
Article in English | MEDLINE | ID: covidwho-2272232
ABSTRACT
The on-going pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to unprecedented medical and socioeconomic crises. Although the viral pathogenesis remains elusive, deficiency of effective antiviral interferon (IFN) responses upon SARS-CoV-2 infection has been recognized as a hallmark of COVID-19 contributing to the disease pathology and progress. Recently, multiple proteins encoded by SARS-CoV-2 have been shown to act as potential IFN antagonists with diverse possible mechanisms. Here, we summarize and discuss the strategies of SARS-CoV-2 for evasion of innate immunity (particularly the antiviral IFN responses), understanding of which will facilitate not only the elucidation of SARS-CoV-2 infection and pathogenesis but also the development of antiviral intervention therapies.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Comput Struct Biotechnol J Year: 2021 Document Type: Article Affiliation country: J.csbj.2021.07.023

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Comput Struct Biotechnol J Year: 2021 Document Type: Article Affiliation country: J.csbj.2021.07.023