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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.
Affiliation
  • 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 de En | MEDLINE | ID: mdl-34660817
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies / Prognostic_studies Langue: En Journal: Futur J Pharm Sci Année: 2021 Type de document: Article
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies / Prognostic_studies Langue: En Journal: Futur J Pharm Sci Année: 2021 Type de document: Article