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Rational drug repositioning for coronavirus-associated diseases using directional mapping and side-effect inference.
Wang, Jianhua; Liu, Jiaojiao; Luo, Menghan; Cui, Hui; Zhang, Wenwen; Zhao, Ke; Dai, Hongji; Song, Fangfang; Chen, Kexin; Yu, Ying; Zhou, Dongming; Li, Mulin Jun; Yang, Hongxi.
  • Wang J; Department of Epidemiology and Biostatistics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospita
  • Liu J; Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Luo M; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Cui H; Department of Pathogen Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Zhang W; Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Zhao K; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Dai H; School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
  • Song F; Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Chen K; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Yu Y; Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Zhou D; Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Li MJ; Department of Epidemiology and Biostatistics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospita
  • Yang H; Department of Epidemiology and Biostatistics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospita
iScience ; 25(11): 105348, 2022 Nov 18.
Article in English | MEDLINE | ID: covidwho-2069208
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the pathogen of coronavirus disease 2019 (COVID-19), has infected hundreds of millions of people and caused millions of deaths. Looking for valid druggable targets with minimal side effects for the treatment of COVID-19 remains critical. After discovering host genes from multiscale omics data, we developed an end-to-end network method to investigate drug-host gene(s)-coronavirus (CoV) paths and the mechanism of action between the drug and the host factor in a directional network. We also inspected the potential side effect of the candidate drug on several common comorbidities. We established a catalog of host genes associated with three CoVs. Rule-based prioritization yielded 29 Food and Drug Administration (FDA)-approved drugs via accounting for the effects of drugs on CoVs, comorbidities, and drug-target confidence information. Seven drugs are currently undergoing clinical trials as COVID-19 treatment. This catalog of druggable host genes associated with CoVs and the prioritized repurposed drugs will provide a new sight in therapeutics discovery for severe COVID-19 patients.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: IScience Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: IScience Year: 2022 Document Type: Article