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使用薄层色谱法和计算方法测定选定抗精神病药物的亲脂性参数:实验研究与理论研究的比较

Use of TLC and Computational Methods to Determine Lipophilicity Parameters of Selected Neuroleptics: Comparison of Experimental and Theoretical Studies.

作者信息

Klimoszek Daria, Dołowy Małgorzata, Jeleń Małgorzata, Bober-Majnusz Katarzyna

机构信息

Department of Analytical Chemistry, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Jagiellońska Street 4, 41-200 Sosnowiec, Poland.

Department of Organic Chemistry, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Jagiellońska Street 4, 41-200 Sosnowiec, Poland.

出版信息

Pharmaceuticals (Basel). 2025 Aug 24;18(9):1255. doi: 10.3390/ph18091255.

Abstract

Compound lipophilicity is a fundamental physicochemical property for determining the pharmacokinetic and pharmacodynamic profiles of therapeutic substances. It is successfully used in the early stages of drug candidates' design and development. : Taking into account the importance of this parameter, we aimed to assess and compare the utility of a hybrid procedure based on calculation methods and an experimental one for rapid and simple estimation of the lipophilicity of selected neuroleptics such as fluphenazine, triflupromazine, trifluoperazine, flupentixol and zuclopenthixol and their potential new derivatives. Log P values of the studied compounds were predicted by means of different platforms and algorithms: AlogPs, ilogP, XlogP3, WlogP, MlogP, milogP, logPsilicos-it, logP, logP and logP The experimental determination of lipophilicity was carried out by reverse-phase thin-layer chromatography (RP-TLC) using three types of stationary phases-RP-2F, RP-8F and RP-18F-and mobile phases consisted of acetone, acetonitrile and 1,4-dioxane as organic modifiers. Our results provide a confident proposal of optimal chromatographic conditions to experimentally determine the lipophilicity of neuroleptic drugs, including new derivatives. Additionally, for the first time, the paper shows the application of selected topological indices in determining lipophilicity factors and other ADMET parameters of neuroleptics and, in the future, the newly synthesized quinoline derivatives of the studied compounds.

摘要

化合物亲脂性是决定治疗性物质药代动力学和药效学特征的一项基本物理化学性质。它已成功应用于候选药物设计与开发的早期阶段。考虑到该参数的重要性,我们旨在评估和比较一种基于计算方法的混合程序与一种实验程序在快速简单估算选定抗精神病药物(如氟奋乃静、三氟丙嗪、三氟拉嗪、氟哌噻吨和珠氯噻醇)及其潜在新衍生物亲脂性方面的效用。通过不同平台和算法预测所研究化合物的Log P值:AlogPs、ilogP、XlogP3、WlogP、MlogP、milogP、logPsilicos-it、logP、logP和logP。亲脂性的实验测定通过反相薄层色谱法(RP-TLC)进行,使用三种固定相——RP-2F、RP-8F和RP-18F——流动相由丙酮、乙腈和1,4-二氧六环作为有机改性剂组成。我们的结果为通过实验测定抗精神病药物(包括新衍生物)的亲脂性提供了可靠的最佳色谱条件建议。此外,本文首次展示了选定拓扑指数在确定抗精神病药物的亲脂性因素和其他ADMET参数以及未来所研究化合物新合成喹啉衍生物方面的应用。

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