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Rational drug repositioning for coronavirus-associated diseases using directional mapping and side-effect inference.


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.

SUBMITTER: Wang J 

PROVIDER: S-EPMC9556799 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Rational drug repositioning for coronavirus-associated diseases using directional mapping and side-effect inference.

Wang Jianhua J   Liu Jiaojiao J   Luo Menghan M   Cui Hui H   Zhang Wenwen W   Zhao Ke K   Dai Hongji H   Song Fangfang F   Chen Kexin K   Yu Ying Y   Zhou Dongming D   Li Mulin Jun MJ   Yang Hongxi H  

iScience 20221013 11


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  ...[more]

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