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Probing antiviral drugs against SARS-CoV-2 through virus-drug association prediction based on the KATZ method.
Zhou, Liqian; Wang, Juanjuan; Liu, Guangyi; Lu, Qingqing; Dong, Ruyi; Tian, Geng; Yang, Jialiang; Peng, Lihong.
Afiliação
  • Zhou L; School of Computer Science, Hunan University of Technology, Zhuzhou 412007, China.
  • Wang J; School of Computer Science, Hunan University of Technology, Zhuzhou 412007, China.
  • Liu G; School of Computer Science, Hunan University of Technology, Zhuzhou 412007, China.
  • Lu Q; Geneis (Beijing) Co. Ltd., Beijing 100102, China.
  • Dong R; Geneis (Beijing) Co. Ltd., Beijing 100102, China.
  • Tian G; Geneis (Beijing) Co. Ltd., Beijing 100102, China.
  • Yang J; Geneis (Beijing) Co. Ltd., Beijing 100102, China. Electronic address: yangjl@geneis.cn.
  • Peng L; School of Computer Science, Hunan University of Technology, Zhuzhou 412007, China. Electronic address: plhhnu@163.com.
Genomics ; 112(6): 4427-4434, 2020 11.
Article em En | MEDLINE | ID: mdl-32745502
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antivirais / Avaliação Pré-Clínica de Medicamentos / Simulação de Acoplamento Molecular / SARS-CoV-2 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antivirais / Avaliação Pré-Clínica de Medicamentos / Simulação de Acoplamento Molecular / SARS-CoV-2 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article