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Targeting human progesterone receptor (PR), through pharmacophore-based screening and molecular simulation revealed potent inhibitors against breast cancer.
Shahab, Muhammad; Ziyu, Peng; Waqas, Muhammad; Zheng, Guojun; Bin Jardan, Yousef A; Fentahun Wondmie, Gezahign; Bouhrhia, Mohammed.
Afiliação
  • Shahab M; State Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
  • Ziyu P; School of chemistry and chemical engineering, Wuhan University of Science and Technology, Wuhan, 430081, People's Republic of China.
  • Waqas M; Natural and Medical Sciences Research Center, University of Nizwa, Birkat Al-Mouz, 616, Nizwa, Oman.
  • Zheng G; State Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China. zhenggj@mail.buct.edu.cn.
  • Bin Jardan YA; Department of Pharmaceutics, College of Pharmacy, King Saud University, P. O. BOX 2455, 11451, Riyadh, Saudi Arabia.
  • Fentahun Wondmie G; Department of Biology, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia. resercherfent@gmail.com.
  • Bouhrhia M; Laboratory of Biotechnology and Natural Resources Valorization, Faculty of Sciences, Ibn Zohr University, 80060, Agadir, Morocco.
Sci Rep ; 14(1): 6768, 2024 03 21.
Article em En | MEDLINE | ID: mdl-38514638
ABSTRACT
Breast cancer, the prevailing malignant tumor among women, is linked to progesterone and its receptor (PR) in both tumorigenesis and treatment responsiveness. Despite thorough investigation, the precise molecular mechanisms of progesterone in breast cancer remain unclear. The human progesterone receptor (PR) serves as an essential therapeutic target for breast cancer treatment, warranting the rapid design of small molecule therapeutics that can effectively inhibit HPR. By employing cutting-edge computational techniques like molecular screening, simulation, and free energy calculation, the process of identifying potential lead molecules from natural products has been significantly expedited. In this study, we employed pharmacophore-based virtual screening and molecular simulations to identify natural product-based inhibitors of human progesterone receptor (PR) in breast cancer treatment. High-throughput molecular screening of traditional Chinese medicine (TCM) and zinc databases was performed, leading to the identification of potential lead compounds. The analysis of binding modes for the top five compounds from both database provides valuable structural insights into the inhibition of HPR for breast cancer treatment. The top five hits exhibited enhanced stability and compactness compared to the reference compound. In conclusion, our study provides valuable insights for identifying and refining lead compounds as HPR inhibitors.
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Texto completo: 1 Base de dados: MEDLINE Medicinas Tradicionais: Medicinas_tradicionales_de_asia / Medicina_china Assunto principal: Neoplasias da Mama Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Medicinas Tradicionais: Medicinas_tradicionales_de_asia / Medicina_china Assunto principal: Neoplasias da Mama Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article