Computational guided identification of potential leads from <i>Acacia pennata</i> (L.) Willd. as inhibitors for cellular entry and viral replication of SARS-CoV-2.

Zothantluanga, James H; Gogoi, Neelutpal; Shakya, Anshul; Chetia, Dipak; Lalthanzara, H

Computational guided identification of potential leads from Acacia pennata (L.) Willd. as inhibitors for cellular entry and viral replication of SARS-CoV-2.

Zothantluanga, James H; Gogoi, Neelutpal; Shakya, Anshul; Chetia, Dipak; Lalthanzara, H.

Afiliação

Zothantluanga JH; Department of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam 786004 India.
Gogoi N; Department of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam 786004 India.
Shakya A; Department of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam 786004 India.
Chetia D; Department of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam 786004 India.
Lalthanzara H; Department of Zoology, Pachhunga Univeristy College, Aizawl, Mizoram 796001 India.

Futur J Pharm Sci ; 7(1): 201, 2021.

Article em En | MEDLINE | ID: mdl-34660817

Palavras-chave

Apigenin-6-C-glucoside; COVID-19; Furin; Isovitexin; Main protease; Molecular docking; SARS-CoV-2

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article