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Revolutionizing anti-cancer drug discovery against breast cancer and lung cancer by modification of natural genistein: an advanced computational and drug design approach.
Akash, Shopnil; Bibi, Shabana; Biswas, Partha; Mukerjee, Nobendu; Khan, Dhrubo Ahmed; Hasan, Md Nazmul; Sultana, Nazneen Ahmeda; Hosen, Md Eram; Jardan, Yousef A Bin; Nafidi, Hiba-Allah; Bourhia, Mohammed.
Afiliação
  • Akash S; Faculty of Allied Health Science, Department of Pharmacy, Daffodil International University, Dhaka, Bangladesh.
  • Bibi S; Department of Biosciences, Shifa Tameer-e-Millat University, Islamabad, Pakistan.
  • Biswas P; Laboratory of Pharmaceutical Biotechnology and Bioinformatics, Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, Bangladesh.
  • Mukerjee N; Department of Microbiology, West Bengal State University, Kolkata, India.
  • Khan DA; Laboratory of Pharmaceutical Biotechnology and Bioinformatics, Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, Bangladesh.
  • Hasan MN; Laboratory of Pharmaceutical Biotechnology and Bioinformatics, Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, Bangladesh.
  • Sultana NA; Faculty of Allied Health Science, Department of Pharmacy, Daffodil International University, Dhaka, Bangladesh.
  • Hosen ME; Professor Joarder DNA and Chromosome Research Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.
  • Jardan YAB; Department of Food Science, Faculty of Agricultural and Food Sciences, Laval University, Quebec City, QC, Canada.
  • Nafidi HA; Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
  • Bourhia M; Laboratory of Chemistry and Biochemistry, Faculty of Medicine and Pharmacy, Ibn Zohr University, Laayoune, Morocco.
Front Oncol ; 13: 1228865, 2023.
Article em En | MEDLINE | ID: mdl-37817764
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article