PropertyValue
?:abstract
  • The COVID-19 disease led to an unprecedented health emergency, still ongoing worldwide. Given the lack of a vaccine or a clear therapeutic strategy to counteract the infection as well as its secondary effects, there is currently a pressing need to generate new insights into the SARS-CoV-2 induced host response. Biomedical data can help to investigate new aspects of the COVID-19 pathogenesis, but source heterogeneity represents a major drawback and limitation. In this work, we applied data integration methods to develop a Unified Knowledge Space (UKS) and used it to identify a new set of genes associated with SARS-CoV-2 host response, both in vitro and in vivo. Functional analysis of these genes reveals possible long-term systemic effects of the infection, such as vascular remodelling and fibrosis. Finally, we identified a set of potentially relevant drugs targeting proteins involved in multiple steps of the host response to the virus.
?:creator
?:doi
  • 10.1093/bib/bbaa417
?:doi
?:journal
  • Briefings_in_bioinformatics
?:license
  • unk
?:pmid
?:pmid
  • 33569598.0
?:publication_isRelatedTo_Disease
?:source
  • Medline
?:title
  • Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment.
?:type
?:year
  • 2021-02-11

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