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10.1007/s13258-020-01021-8

http://scihub22266oqcxt.onion/10.1007/s13258-020-01021-8
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suck abstract from ncbi


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pmid33428154      Genes+Genomics 2021 ; 43 (1): 55-67
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  • Screening druggable targets and predicting therapeutic drugs for COVID-19 via integrated bioinformatics analysis #MMPMID33428154
  • Tan S; Chen W; Xiang H; Kong G; Zou L; Wei L
  • Genes Genomics 2021[Jan]; 43 (1): 55-67 PMID33428154show ga
  • BACKGROUND: Since the outbreak of coronavirus disease 2019 (COVID-19) in China, numerous research institutions have invested in the development of anti-COVID-19 vaccines and screening for efficacious drugs to manage the virus. OBJECTIVE: To explore the potential targets and therapeutic drugs for the prevention and treatment of COVID-19 through data mining and bioinformatics. METHODS: We integrated and profoundly analyzed 10 drugs previously assessed to have promising therapeutic potential in COVID-19 management, and have been recommended for clinical trials. To explore the mechanisms by which these drugs may be involved in the treatment of COVID-19, gene-drug interactions were identified using the DGIdb database after which functional enrichment analysis, protein-protein interaction (PPI) network, and miRNA-gene network construction were performed. We adopted the DGIdb database to explore the candidate drugs for COVID-19. RESULTS: A total of 43 genes associated with the 10 potential COVID-19 drugs were identified. Function enrichment analysis revealed that these genes were mainly enriched in response to other invasions, toll-like receptor pathways, and they play positive roles in the production of cytokines such as IL-6, IL-8, and INF-beta. TNF, TLR3, TLR7, TLR9, and CXCL10 were identified as crucial genes in COVID-19. Through the DGIdb database, we predicted 87 molecules as promising druggable molecules for managing COVID-19. CONCLUSIONS: Findings from this work may provide new insights into COVID-19 mechanisms and treatments. Further, the already identified candidate drugs may improve the efficiency of pharmaceutical treatment in this rapidly evolving global situation.
  • |*COVID-19 Drug Treatment[MESH]
  • |Antiviral Agents/*pharmacology[MESH]
  • |COVID-19/*genetics/metabolism/virology[MESH]
  • |Computational Biology/methods[MESH]
  • |Drug Development/methods[MESH]
  • |Drug Evaluation, Preclinical/methods[MESH]
  • |Gene Regulatory Networks[MESH]
  • |Humans[MESH]
  • |MicroRNAs/genetics[MESH]
  • |Protein Interaction Maps[MESH]


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