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Targeting CK2 mediated signaling to impair/tackle SARS-CoV-2 infection: a computational biology approach.
Miranda, Jamilet; Bringas, Ricardo; Fernandez-de-Cossio, Jorge; Perera-Negrin, Yasser.
  • Miranda J; Division of Informatics, Department of Bioinformatics, Center for Genetic Engineering and Biotechnology, Havana, Cuba. jamilet.miranda@cigb.edu.cu.
  • Bringas R; Division of Informatics, Department of Bioinformatics, Center for Genetic Engineering and Biotechnology, Havana, Cuba.
  • Fernandez-de-Cossio J; Division of Informatics, Department of Bioinformatics, Center for Genetic Engineering and Biotechnology, Havana, Cuba.
  • Perera-Negrin Y; Laboratory of Molecular Oncology, Division of Biomedical Research, Department of Pharmaceuticals, Center for Genetic Engineering and Biotechnology, Havana, Cuba.
Mol Med ; 27(1): 161, 2021 12 20.
Article in English | MEDLINE | ID: covidwho-1635499
ABSTRACT

BACKGROUND:

Similarities in the hijacking mechanisms used by SARS-CoV-2 and several types of cancer, suggest the repurposing of cancer drugs to treat Covid-19. CK2 kinase antagonists have been proposed for cancer treatment. A recent study in cells infected with SARS-CoV-2 found a significant CK2 kinase activity, and the use of a CK2 inhibitor showed antiviral responses. CIGB-300, originally designed as an anticancer peptide, is an antagonist of CK2 kinase activity that binds to the CK2 phospho-acceptor sites. Recent preliminary results show the antiviral activity of CIGB-300 using a surrogate model of coronavirus. Here we present a computational biology study that provides evidence, at the molecular level, of how CIGB-300 may interfere with the SARS-CoV-2 life cycle within infected human cells.

METHODS:

Sequence analyses and data from phosphorylation studies were combined to predict infection-induced molecular mechanisms that can be interfered by CIGB-300. Next, we integrated data from multi-omics studies and data focusing on the antagonistic effect on the CK2 kinase activity of CIGB-300. A combination of network and functional enrichment analyses was used.

RESULTS:

Firstly, from the SARS-CoV studies, we inferred the potential incidence of CIGB-300 in SARS-CoV-2 interference on the immune response. Afterwards, from the analysis of multiple omics data, we proposed the action of CIGB-300 from the early stages of viral infections perturbing the virus hijacking of RNA splicing machinery. We also predicted the interference of CIGB-300 in virus-host interactions that are responsible for the high infectivity and the particular immune response to SARS-CoV-2 infection. Furthermore, we provided evidence of how CIGB-300 may participate in the attenuation of phenotypes related to muscle, bleeding, coagulation and respiratory disorders.

CONCLUSIONS:

Our computational analysis proposes putative molecular mechanisms that support the antiviral activity of CIGB-300.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computational Biology / COVID-19 Type of study: Observational study / Prognostic study Limits: Animals / Humans Language: English Journal: Mol Med Journal subject: Molecular Biology Year: 2021 Document Type: Article Affiliation country: S10020-021-00424-x

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computational Biology / COVID-19 Type of study: Observational study / Prognostic study Limits: Animals / Humans Language: English Journal: Mol Med Journal subject: Molecular Biology Year: 2021 Document Type: Article Affiliation country: S10020-021-00424-x