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Target prediction, computational identification, and network-based pharmacology of most potential phytoconstituent in medicinal leaves of Justicia adhatoda against SARS-CoV-2.
Dagur, Pankaj; Rakshit, Gourav; Sheikh, Murtuja; Biswas, Abanish; Jha, Parineeta; Al-Khafaji, Khattab; Ghosh, Manik.
Afiliação
  • Dagur P; Department of Pharmaceutical Sciences & Technology, Birla Institute of Technology, Ranchi, Ranchi, India.
  • Rakshit G; Department of Pharmaceutical Sciences & Technology, Birla Institute of Technology, Ranchi, Ranchi, India.
  • Sheikh M; Department of Pharmaceutical Sciences & Technology, Birla Institute of Technology, Ranchi, Ranchi, India.
  • Biswas A; Department of Pharmaceutical Sciences & Technology, Birla Institute of Technology, Ranchi, Ranchi, India.
  • Jha P; Department of Pharmaceutical Sciences & Technology, Birla Institute of Technology, Ranchi, Ranchi, India.
  • Al-Khafaji K; Department of Medical Laboratory Technology, Al-Nisour University College, Baghdad, Iraq.
  • Ghosh M; Department of Pharmaceutical Sciences & Technology, Birla Institute of Technology, Ranchi, Ranchi, India.
J Biomol Struct Dyn ; 41(9): 3926-3942, 2023 06.
Article em En | MEDLINE | ID: mdl-35412437
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Justicia / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Biomol Struct Dyn Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Justicia / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Biomol Struct Dyn Ano de publicação: 2023 Tipo de documento: Article