Starek Małgorzata, Plenis Alina, Zagrobelna Marta, Dąbrowska Monika
Department of Inorganic and Analytical Chemistry, Faculty of Pharmacy, Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
Department of Pharmaceutical Chemistry, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland.
Pharmaceutics. 2021 Mar 24;13(4):440. doi: 10.3390/pharmaceutics13040440.
Lipophilicity study of selected NSAIDs, the group of the bioactive compounds usually used in humans and animals medicine, with the use of experimental and calculation methods was evaluated. LogP values are proposed and compared as descriptors of the lipophilicity of eleven compounds (from oxicams and coxibs). Obtained data were designated by thin-layer chromatography (TLC) in various chromatographic conditions, with stationary phases with different properties. The mobile phase systems were prepared by mixing the respective amounts of water and organic modifier, methanol and acetone, in the range of 30 to 80% (/) in 5% increments. Retention parameters (R, R and R) were calculated and statistically evaluated to establish correlations. All experimentally determined R values were compared with partition coefficients obtained by computational methods using linear regression analysis. Moreover, in order to extract information about the lipophilicity of compounds from large retention datasets, two chemometric approaches, namely principal component analysis (PCA) and cluster analysis (CA) were carried out. Established models of lipophilicity may have the potential to predict the biological activity of a number of drugs. The presented knowledge may also be of use during drug discovery processes, broadening the knowledge of potential ways to modify the physicochemical properties of chemical compounds.
采用实验和计算方法,对选定的非甾体抗炎药(通常用于人类和动物医学的生物活性化合物组)的亲脂性进行了研究。提出并比较了logP值,作为11种化合物(来自昔康类和环氧化酶抑制剂类)亲脂性的描述符。通过在不同色谱条件下,使用具有不同性质固定相的薄层色谱(TLC)获得数据。流动相系统是通过将水和有机改性剂(甲醇和丙酮)以30%至80%(/)的范围按5%的增量混合制备的。计算保留参数(R、R和R)并进行统计评估以建立相关性。将所有实验测定的R值与通过线性回归分析的计算方法获得的分配系数进行比较。此外,为了从大量保留数据集中提取有关化合物亲脂性的信息,进行了两种化学计量学方法,即主成分分析(PCA)和聚类分析(CA)。建立的亲脂性模型可能具有预测多种药物生物活性的潜力。所呈现的知识在药物发现过程中也可能有用,拓宽了关于改变化合物物理化学性质潜在方法的知识。