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Combined in silico strategy for repurposing DrugBank entries towards introducing potential anti-SARS-CoV-2 drugs.
Ghavami, Ghazaleh; Adibzadeh, Setare; Amiri, Shahin; Sardari, Soroush.
  • Ghavami G; Drug Design and Bioinformatics Unit, Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
  • Adibzadeh S; Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
  • Amiri S; Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
  • Sardari S; Drug Design and Bioinformatics Unit, Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Can J Physiol Pharmacol ; 101(6): 268-285, 2023 Jun 01.
Artículo en Inglés | MEDLINE | ID: covidwho-2260515
ABSTRACT
The emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) from China in December 2019 led to the coronavirus disorder 2019 pandemic, which has affected tens of millions of humans worldwide. Various in silico research via bio-cheminformatics methods were performed to examine the efficiency of a range of repurposed approved drugs with a new role as anti-SARS-CoV-2 drugs. The current study has been performed to screen the approved drugs in the DrugBank database based on a novel bioinformatics/cheminformatics strategy to repurpose available approved drugs towards introducing them as a possible anti-SARS-CoV-2 drug. As a result, 96 approved drugs with the best docking scores passed through several relevant filters were presented as the candidate drugs with potential novel antiviral activities against the SARS-CoV-2 virus.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: Can J Physiol Pharmacol Año: 2023 Tipo del documento: Artículo País de afiliación: Cjpp-2022-0309

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: Can J Physiol Pharmacol Año: 2023 Tipo del documento: Artículo País de afiliación: Cjpp-2022-0309