期刊
BRIEFINGS IN BIOINFORMATICS
卷 22, 期 2, 页码 1430-1441出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbaa417
关键词
COVID-19; SARS-CoV-2; coronavirus; virus-host interaction; unified knowledge space; data integration; multi-layer network analysis; drug targeting; drug repositioning
资金
- Academy of Finland [322761]
- Academy of Finland (AKA) [322761, 322761] Funding Source: Academy of Finland (AKA)
The ongoing COVID-19 pandemic has created an urgent need to understand the host response to the SARS-CoV-2 virus. By integrating data and developing a Unified Knowledge Space, new genes associated with the virus's effects have been identified, with functional analysis revealing potential long-term systemic impacts of the infection. Additionally, potentially relevant drugs targeting proteins involved in the host response have been identified to aid in combating the virus.
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.
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