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Integrating Pharmacological and Computational Approaches for the Phytochemical Analysis of Syzygium cumini and Its Anti-Diabetic Potential.
Rashid, Fatima; Javaid, Anam; Ashfaq, Usman Ali; Sufyan, Muhammad; Alshammari, Abdulrahman; Alharbi, Metab; Nisar, Muhammad Atif; Khurshid, Mohsin.
Afiliação
  • Rashid F; Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.
  • Javaid A; Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.
  • Mahmood-Ur-Rahman; Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.
  • Ashfaq UA; Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.
  • Sufyan M; Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.
  • Alshammari A; Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
  • Alharbi M; Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
  • Nisar MA; College of Science and Engineering, Flinders University, Bedford Park 5042, Australia.
  • Khurshid M; Department of Microbiology, Government College University, Faisalabad 38000, Pakistan.
Molecules ; 27(17)2022 Sep 05.
Article em En | MEDLINE | ID: mdl-36080496
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Syzygium Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Syzygium Idioma: En Ano de publicação: 2022 Tipo de documento: Article