Corpus ID: 219531667

Causal Network Models of SARS-CoV-2 Expression and Aging to Identify Candidates for Drug Repurposing

@article{Belyaeva2020CausalNM,
  title={Causal Network Models of SARS-CoV-2 Expression and Aging to Identify Candidates for Drug Repurposing},
  author={Anastasiya Belyaeva and Louis V. Cammarata and Adityanarayanan Radhakrishnan and Chandler Squires and Karren D. Yang and G. V. Shivashankar and Caroline Uhler},
  journal={arXiv: Molecular Networks},
  year={2020}
}
  • Anastasiya Belyaeva, Louis V. Cammarata, +4 authors Caroline Uhler
  • Published 2020
  • Biology
  • arXiv: Molecular Networks
  • Given the severity of the SARS-CoV-2 pandemic, a major challenge is to rapidly repurpose existing approved drugs for clinical interventions. While a number of data-driven and experimental approaches have been suggested in the context of drug repurposing, a platform that systematically integrates available transcriptomic, proteomic and structural data is missing. More importantly, given that SARS-CoV-2 pathogenicity is highly age-dependent, it is critical to integrate aging signatures into drug… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 59 REFERENCES

    A Novel Approach to High-Quality Postmortem Tissue Procurement: The GTEx Project

    VIEW 8 EXCERPTS
    HIGHLY INFLUENTIAL

    Inhibitors Targeting RIPK1/RIPK3: Old and New Drugs.

    VIEW 18 EXCERPTS
    HIGHLY INFLUENTIAL

    Mechano-genomic regulation of coronaviruses and its interplay with ageing

    VIEW 4 EXCERPTS

    Review of Causal Discovery Methods Based on Graphical Models

    VIEW 14 EXCERPTS
    HIGHLY INFLUENTIAL