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Metabolites Profiling, In Vitro, In Vivo, Computational Pharmacokinetics and Biological Predictions of Aloe perryi Resins Methanolic Extract.
Suliman, Rasha Saad; Alghamdi, Sahar Saleh; Ali, Rizwan; Aljatli, Dimah A; Huwaizi, Sarah; Suliman, Rania; Albadrani, Ghadeer M; Tolayyan, Abdulellah Al; Alghanem, Bandar.
Afiliação
  • Suliman RS; College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Saudi Arabia.
  • Alghamdi SS; Medical Research Core Facility and Platforms, King Abdullah International Medical Research Center (KAIMRC), Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia.
  • Ali R; College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Saudi Arabia.
  • Aljatli DA; Medical Research Core Facility and Platforms, King Abdullah International Medical Research Center (KAIMRC), Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia.
  • Huwaizi S; Medical Research Core Facility and Platforms, King Abdullah International Medical Research Center (KAIMRC), Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia.
  • Suliman R; College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Saudi Arabia.
  • Albadrani GM; Medical Research Core Facility and Platforms, King Abdullah International Medical Research Center (KAIMRC), Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia.
  • Tolayyan AA; Clinical Laboratory Sciences, Prince Sultan Military College of Health Sciences, Dahran 34313, Saudi Arabia.
  • Alghanem B; Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11564, Saudi Arabia.
Plants (Basel) ; 10(6)2021 May 30.
Article em En | MEDLINE | ID: mdl-34070945
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article