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1.
Methods ; 198: 3-10, 2022 02.
Article in English | MEDLINE | ID: covidwho-1721113

ABSTRACT

The coronavirus disease 2019 (COVID-19) has outbreak since early December 2019, and COVID-19 has caused over 100 million cases and 2 million deaths around the world. After one year of the COVID-19 outbreak, there is no certain and approve medicine against it. Drug repositioning has become one line of scientific research that is being pursued to develop an effective drug. However, due to the lack of COVID-19 data, there is still no specific drug repositioning targeting the COVID-19. In this paper, we propose a framework for COVID-19 drug repositioning. This framework has several advantages that can be exploited: one is that a local graph aggregating representation is used across a heterogeneous network to address the data sparsity problem; another is the multi-hop neighbors of the heterogeneous graph are aggregated to recall as many COVID-19 potential drugs as possible. Our experimental results show that our COVDR framework performs significantly better than baseline methods, and the docking simulation verifies that our three potential drugs have the ability to against COVID-19 disease.


Subject(s)
COVID-19 , Pharmaceutical Preparations , Antiviral Agents , Drug Repositioning , Humans , Molecular Docking Simulation , SARS-CoV-2
2.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-315171

ABSTRACT

Objective: Sepsis is a life-threatening condition, and the mechanism of coagulation dysfunction in sepsis remains unknown. We aimed to investigate the mechanism of coagulation dysfunction in sepsis. Methods: . Standard methods were used to establish the sepsis models and generate gene expression profiles. Bioinformatics analysis was carried out by GO and KEGG enrichment analysis, construction of PPIs and screening of seed genes. Finally, seed genes were used to rebuild the disease-related pathways. Results: . Our experiments revealed an inflammatory response and coagulation dysfunction in both animal and cell models. After determining the DEGs, GO and KEGG functional analysis showed that there is a significant correlation between the inflammatory response and DNA damage. PPI network analysis screened 9 seed genes related to cell mitosis and platelet-derived growth factor receptor signaling pathways. Some of the seed genes were relevant to COVID-19. Conclusions: . This study explored the molecular mechanism of coagulation dysfunction in sepsis models by bioinformatics analysis. This may have guiding significance in reducing the risk of complications in patients with sepsis and improving the effectiveness of treatment.

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