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  1. Article ; Online: Targeting hub genes and pathways of innate immune response in COVID-19: A network biology perspective.

    Prasad, Kartikay / Khatoon, Fatima / Rashid, Summya / Ali, Nemat / AlAsmari, Abdullah F / Ahmed, Mohammad Z / Alqahtani, Ali S / Alqahtani, Mohammed S / Kumar, Vijay

    International journal of biological macromolecules

    2020  Volume 163, Page(s) 1–8

    Abstract: ... repurposing in COVID-19. Our network centric analysis suggests that moderating the innate immune response is ... of the immune response to SARS-CoV-2 will be important to develop therapeutics against COVID-19. Here, we have used ... biology approach to generate human-virus interactome. Network topological analysis discovers 15 SARS-CoV-2 ...

    Abstract The current pandemic of 2019 novel coronavirus disease (COVID-19) caused by a novel virus strain, 2019-nCoV/SARS-CoV-2 have posed a serious threat to global public health and economy. It is largely unknown how the human immune system responds to this infection. A better understanding of the immune response to SARS-CoV-2 will be important to develop therapeutics against COVID-19. Here, we have used transcriptomic profile of human alveolar adenocarcinoma cells (A549) infected with SARS-CoV-2 and employed a network biology approach to generate human-virus interactome. Network topological analysis discovers 15 SARS-CoV-2 targets, which belongs to a subset of interferon (IFN) stimulated genes (ISGs). These ISGs (IFIT1, IFITM1, IRF7, ISG15, MX1, and OAS2) can be considered as potential candidates for drug targets in the treatments of COVID-19. We have identified significant interaction between ISGs and TLR3 agonists, like poly I: C, and imiquimod, and suggests that TLR3 agonists can be considered as a potential drug for drug repurposing in COVID-19. Our network centric analysis suggests that moderating the innate immune response is a valuable approach to target COVID-19.
    MeSH term(s) A549 Cells ; Antiviral Agents/pharmacology ; Betacoronavirus/genetics ; Betacoronavirus/immunology ; COVID-19 ; Coronavirus Infections/genetics ; Coronavirus Infections/immunology ; Coronavirus Infections/virology ; Drug Repositioning ; ELAV-Like Protein 2/genetics ; ELAV-Like Protein 2/immunology ; ELAV-Like Protein 2/metabolism ; Gene Regulatory Networks ; Humans ; Immunity, Innate ; Interferon-gamma/immunology ; Interferon-gamma/pharmacology ; Pandemics ; Pneumonia, Viral/genetics ; Pneumonia, Viral/immunology ; Pneumonia, Viral/virology ; Protein Interaction Maps/genetics ; SARS-CoV-2 ; Signal Transduction ; Transcriptome
    Chemical Substances Antiviral Agents ; ELAV-Like Protein 2 ; ELAVL2 protein, human ; Interferon-gamma (82115-62-6)
    Keywords covid19
    Language English
    Publishing date 2020-06-26
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2020.06.228
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Targeting hub genes and pathways of innate immune response in COVID-19: A network biology perspective

    Prasad, Kartikay / Khatoon, Fatima / Rashid, Summya / Ali, Nemat / AlAsmari, Abdullah F / Ahmed, Mohammad Z / Alqahtani, Ali S / Alqahtani, Mohammed S / Kumar, Vijay

    International journal of biological macromolecules. 2020 Nov. 15, v. 163

    2020  

    Abstract: ... repurposing in COVID-19. Our network centric analysis suggests that moderating the innate immune response is ... of the immune response to SARS-CoV-2 will be important to develop therapeutics against COVID-19. Here, we have used ... biology approach to generate human-virus interactome. Network topological analysis discovers 15 SARS-CoV-2 ...

    Abstract The current pandemic of 2019 novel coronavirus disease (COVID-19) caused by a novel virus strain, 2019-nCoV/SARS-CoV-2 have posed a serious threat to global public health and economy. It is largely unknown how the human immune system responds to this infection. A better understanding of the immune response to SARS-CoV-2 will be important to develop therapeutics against COVID-19. Here, we have used transcriptomic profile of human alveolar adenocarcinoma cells (A549) infected with SARS-CoV-2 and employed a network biology approach to generate human-virus interactome. Network topological analysis discovers 15 SARS-CoV-2 targets, which belongs to a subset of interferon (IFN) stimulated genes (ISGs). These ISGs (IFIT1, IFITM1, IRF7, ISG15, MX1, and OAS2) can be considered as potential candidates for drug targets in the treatments of COVID-19. We have identified significant interaction between ISGs and TLR3 agonists, like poly I: C, and imiquimod, and suggests that TLR3 agonists can be considered as a potential drug for drug repurposing in COVID-19. Our network centric analysis suggests that moderating the innate immune response is a valuable approach to target COVID-19.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; adenocarcinoma ; drugs ; humans ; immune response ; immune system ; innate immunity ; interferons ; pandemic ; public health ; therapeutics ; topology ; transcriptomics ; viruses
    Language English
    Dates of publication 2020-1115
    Size p. 1-8.
    Publishing place Elsevier B.V.
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2020.06.228
    Database NAL-Catalogue (AGRICOLA)

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  3. Article: Targeting hub genes and pathways of innate immune response in COVID-19: A network biology perspective

    Prasad, Kartikay / Khatoon, Fatima / Rashid, Summya / Ali, Nemat / AlAsmari, Abdullah F / Ahmed, Mohammad Z / Alqahtani, Ali S / Alqahtani, Mohammed S / Kumar, Vijay

    Int J Biol Macromol

    Abstract: ... repurposing in COVID-19. Our network centric analysis suggests that moderating the innate immune response is ... of the immune response to SARS-CoV-2 will be important to develop therapeutics against COVID-19. Here, we have used ... biology approach to generate human-virus interactome. Network topological analysis discovers 15 SARS-CoV-2 ...

    Abstract The current pandemic of 2019 novel coronavirus disease (COVID-19) caused by a novel virus strain, 2019-nCoV/SARS-CoV-2 have posed a serious threat to global public health and economy. It is largely unknown how the human immune system responds to this infection. A better understanding of the immune response to SARS-CoV-2 will be important to develop therapeutics against COVID-19. Here, we have used transcriptomic profile of human alveolar adenocarcinoma cells (A549) infected with SARS-CoV-2 and employed a network biology approach to generate human-virus interactome. Network topological analysis discovers 15 SARS-CoV-2 targets, which belongs to a subset of interferon (IFN) stimulated genes (ISGs). These ISGs (IFIT1, IFITM1, IRF7, ISG15, MX1, and OAS2) can be considered as potential candidates for drug targets in the treatments of COVID-19. We have identified significant interaction between ISGs and TLR3 agonists, like poly I: C, and imiquimod, and suggests that TLR3 agonists can be considered as a potential drug for drug repurposing in COVID-19. Our network centric analysis suggests that moderating the innate immune response is a valuable approach to target COVID-19.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #620551
    Database COVID19

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  4. Article ; Online: Targeting hub genes and pathways of innate immune response in COVID-19

    Prasad, Kartikay / Khatoon, Fatima / Rashid, Summya / Ali, Nemat / AlAsmari, Abdullah F. / Ahmed, Mohammad Z. / Alqahtani, Ali S. / Alqahtani, Mohammed S. / Kumar, Vijay

    International Journal of Biological Macromolecules

    A network biology perspective

    2020  Volume 163, Page(s) 1–8

    Keywords Biochemistry ; Molecular Biology ; Structural Biology ; General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2020.06.228
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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