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Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches.
Bhowmick, Shovonlal; Saha, Achintya; AlFaris, Nora Abdullah; ALTamimi, Jozaa Zaidan; ALOthman, Zeid A; Aldayel, Tahany Saleh; Wabaidur, Saikh Mohammad; Islam, Md Ataul.
Afiliação
  • Bhowmick S; Department of Chemical Technology, University of Calcutta, 92, A.P.C. Road, Kolkata, 700009, India.
  • Saha A; Department of Chemical Technology, University of Calcutta, 92, A.P.C. Road, Kolkata, 700009, India. Electronic address: achintya_saha@yahoo.com.
  • AlFaris NA; Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia.
  • ALTamimi JZ; Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia.
  • ALOthman ZA; Department of Chemistry, P.O. Box 2455, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
  • Aldayel TS; Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia.
  • Wabaidur SM; Department of Chemistry, P.O. Box 2455, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
  • Islam MA; Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom. Electronic address: ataul.islam80@gmail.com.
J Mol Graph Model ; 111: 108113, 2022 03.
Article em En | MEDLINE | ID: mdl-34959151
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: J Mol Graph Model Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Índia
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: J Mol Graph Model Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Índia