Evidence map›Paper›PMID 34930105›Full record

ArticleMolecular medicine (Cambridge, Mass.)2021

Targeting CK2 mediated signaling to impair/tackle SARS-CoV-2 infection: a computational biology approach.

Jamilet Miranda, Ricardo Bringas, Jorge Fernandez-de-Cossio, Yasser Perera-Negrin

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Crystal structure of the Rho-associated coiled-coil kinase 2 inhibitor belumosudil bound to CK2α.Acta crystallographica. Section F, Structural biology communications · 2022
    Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Jamilet MirandaDivision of Informatics, Department of Bioinformatics, Center for Genetic Engineering and Biotechnology, Havana, Cuba. jamilet.miranda@cigb.edu.cu.ORCID 0000-0002-9601-1745
Ricardo BringasDivision of Informatics, Department of Bioinformatics, Center for Genetic Engineering and Biotechnology, Havana, Cuba.
Jorge Fernandez-de-CossioDivision of Informatics, Department of Bioinformatics, Center for Genetic Engineering and Biotechnology, Havana, Cuba.
Yasser Perera-NegrinLaboratory of Molecular Oncology, Division of Biomedical Research, Department of Pharmaceuticals, Center for Genetic Engineering and Biotechnology, Havana, Cuba.
Centro de Ingeniería Genética y Biotecnología · CUHunan University of Science and Engineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSimilarities 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.

methodsSequence 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.

resultsFirstly, 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.

conclusionsOur computational analysis proposes putative molecular mechanisms that support the antiviral activity of CIGB-300.

Indexed as

AnimalsCaco-2 CellsChlorocebus aethiopsComputational BiologyCOVID-19COVID-19 Drug TreatmentHumansNuclear Pore Complex ProteinsPeptides, CyclicSARS-CoV-2Vero CellsCIGB-300nuclear pore complex protein 98Nuclear Pore Complex ProteinsPeptides, CyclicCIGB-300CK2 inhibitorComputational biologyDrug repurposingHSBP1NPM1/B23PhosphoproteomicsSARS-CoV-2SQSTM1SRSF1

Identifiers

PMID34930105
PMCPMC8686809
OpenAlexW4200196193

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.