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Estimation of lipophilicity and design of new 17β-carboxamide glucocorticoids using RP-HPLC and quantitative structure-retention relationships analysis

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Eight 17β-carboxamide glucocorticoids with local anti-inflammatory activity were selected and their retention behavior tested in six RP-HPLC systems (I–VI). logkw, a, and φ 0 parameters were calculated and correlation with previously determined logPo/w values was examined. RP-HPLC system IV, which consisted of cyano column and methanol–water mobile phases (50:50, 60:40, 70:30, and 80:20, v/v), was selected as the most reliable for lipophilicity prediction and used for the analysis of chromatographic behavior of remaining fourteen 17β-carboxamide glucocorticoids. Quantitative structure-retention relationships analysis was performed and PLS(logkw) model was selected as the most statistically significant. On the basis of selected model and interpretation of corresponding descriptors, new derivatives with higher logkw values and higher expected lipophilicity were designed.
Rocznik
Strony
130--137
Opis fizyczny
Bibliogr. 38 poz., rys., tab.
Twórcy
  • Department of Pharmaceutical Chemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Republic of Serbia
  • Department of Pharmaceutical Chemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Republic of Serbia
  • Department of Pharmaceutical Chemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Republic of Serbia
  • Department of Pharmaceutical Chemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Republic of Serbia
  • Department of Pharmaceutical Chemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Republic of Serbia
Bibliografia
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4aedf1f9-8135-4a9f-9f31-4f27680742ac
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