Unknown

Dataset Information

Host - virus - drug interactions as determinants of COVID-19's phenotypes: A data-driven hypothesis.


ABSTRACT: There is a growing body of evidence on the significance of interactions between comorbidities, their treatments and COVID-19 clinical phenotypes. The hypothesis explored herein is that pharmaceutical compounds currently in use are affecting COVID-19 susceptibility and phenotypes by overlapping transcriptional networks. Using two distinct SARS-CoV-2 - host interactomes, gene set enrichment analysis is used to discover compounds and assorted gene signatures derived from SARS-CoV-2 interactomes. Micronutrients, antiplatelets, ACE2 inhibitors, NSAIDs, corticosteroids and tyrosine kinase inhibitors are among the compounds discovered. Considering the implication of their associated comorbidities such as diabetes and cardiovascular disease that are associated with severe COVID-19, this study outl

SUBMITTER: Vavougios GD 

PROVIDER: S-EPMC7494558 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets