CovidV1, an2020, Analysis, bibRecord, 000205

Repurposing of clinically approved drugs for treatment of coronavirus disease 2019 in a 2019-novel coronavirus (2019-nCoV) related coronavirus model.

Identifieur interne : 000205 ( an2020/Analysis ); précédent : 000204; suivant : 000206

Repurposing of clinically approved drugs for treatment of coronavirus disease 2019 in a 2019-novel coronavirus (2019-nCoV) related coronavirus model.

Auteurs : Hua-Hao Fan [République populaire de Chine] ; Li-Qin Wang ; Wen-Li Liu ; Xiao-Ping An ; Zhen-Dong Liu ; Xiao-Qi He ; Li-Hua Song ; Yi-Gang Tong

Source :

Chinese medical journal [ 2542-5641 ] ; 2020.

RBID : pubmed:32149769

Abstract

Medicines for the treatment of 2019-novel coronavirus (2019-nCoV) infections are urgently needed. However, drug screening using live 2019-nCoV requires high-level biosafety facilities, which imposes an obstacle for those without such facilities or 2019-novel coronavirus (2019-nCoV). This study aims to repurpose the clinically approved drugs for the treatment of coronavirus disease 2019 (COVID-19) in a 2019-nCoV related coronavirus model.

DOI: 10.1097/CM9.0000000000000797
PubMed: 32149769

Affiliations:

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pubmed:32149769

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<author><name sortKey="An, Xiao Ping" sort="An, Xiao Ping" uniqKey="An X" first="Xiao-Ping" last="An">Xiao-Ping An</name>
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<front><div type="abstract" xml:lang="en">Medicines for the treatment of 2019-novel coronavirus (2019-nCoV) infections are urgently needed. However, drug screening using live 2019-nCoV requires high-level biosafety facilities, which imposes an obstacle for those without such facilities or 2019-novel coronavirus (2019-nCoV). This study aims to repurpose the clinically approved drugs for the treatment of coronavirus disease 2019 (COVID-19) in a 2019-nCoV related coronavirus model.</div>
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Repurposing of clinically approved drugs for treatment of coronavirus disease 2019 in a 2019-novel coronavirus (2019-nCoV) related coronavirus model.

Repurposing of clinically approved drugs for treatment of coronavirus disease 2019 in a 2019-novel coronavirus (2019-nCoV) related coronavirus model.

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Abstract

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Le document en format XML

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