{"title":"反相高效液相色谱法测定新型环基抗疟药物先导物的log P值。","authors":"A. Rudraraju, P. Amoyaw, T. Hubin, M. O. Khan","doi":"10.1691/PH.2014.4019","DOIUrl":null,"url":null,"abstract":"Lipophilicity, expressed by log P, is an important physicochemical property of drugs that affects many biological processes, including drug absorption and distribution. The main purpose of this study to determine the log P values of newly discovered drug leads using reversed-phase high-performance liquid chromatography (RP-HPLC). The reference standards, with varying polarity ranges, were dissolved in methanol and analyzed by RP-HPLC using a C18 column. The mobile phase consisted of a mixture of acetonitrile, methanol and water in a gradient elution mode. A calibration curve was plotted between the experimental log P values and obtained log k values of the reference standard compounds and a best fit line was obtained. The log k values of the new drug leads were determined in the same solvent system and were used to calculate the respective log P values by using the best fit equation. The log P vs. log k data gave a best fit linear curve that had an R2 of 0.9786 with Pvalues of the intercept and slope of 1.19 x 10(-6) and 1.56 x 10(-10), respectively, at 0.05 level of significance. Log P values of 15 new drug leads and related compounds, all of which are derivatives of macrocyclic polyamines and their metal complexes, were determined. The values obtained are closely related to the calculated log P (Clog P) values using ChemDraw Ultra 12.0. This experiment provided efficient, fast and reasonable estimates of log P values of the new drug leads by using RP-HPLC.","PeriodicalId":86039,"journal":{"name":"Die Pharmazie. Beihefte","volume":"20 1","pages":"655-62"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Determination of log P values of new cyclen based antimalarial drug leads using RP-HPLC.\",\"authors\":\"A. Rudraraju, P. Amoyaw, T. Hubin, M. O. Khan\",\"doi\":\"10.1691/PH.2014.4019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lipophilicity, expressed by log P, is an important physicochemical property of drugs that affects many biological processes, including drug absorption and distribution. The main purpose of this study to determine the log P values of newly discovered drug leads using reversed-phase high-performance liquid chromatography (RP-HPLC). The reference standards, with varying polarity ranges, were dissolved in methanol and analyzed by RP-HPLC using a C18 column. The mobile phase consisted of a mixture of acetonitrile, methanol and water in a gradient elution mode. A calibration curve was plotted between the experimental log P values and obtained log k values of the reference standard compounds and a best fit line was obtained. The log k values of the new drug leads were determined in the same solvent system and were used to calculate the respective log P values by using the best fit equation. The log P vs. log k data gave a best fit linear curve that had an R2 of 0.9786 with Pvalues of the intercept and slope of 1.19 x 10(-6) and 1.56 x 10(-10), respectively, at 0.05 level of significance. Log P values of 15 new drug leads and related compounds, all of which are derivatives of macrocyclic polyamines and their metal complexes, were determined. The values obtained are closely related to the calculated log P (Clog P) values using ChemDraw Ultra 12.0. This experiment provided efficient, fast and reasonable estimates of log P values of the new drug leads by using RP-HPLC.\",\"PeriodicalId\":86039,\"journal\":{\"name\":\"Die Pharmazie. Beihefte\",\"volume\":\"20 1\",\"pages\":\"655-62\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Die Pharmazie. Beihefte\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1691/PH.2014.4019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Die Pharmazie. Beihefte","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1691/PH.2014.4019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
摘要
以log P表示的亲脂性是影响药物吸收和分布等许多生物过程的重要理化性质。本研究的主要目的是利用反相高效液相色谱法(RP-HPLC)测定新发现药物先导物的对数P值。将不同极性范围的标准品溶于甲醇中,采用C18色谱柱进行反相高效液相色谱分析。流动相由乙腈、甲醇和水的混合物组成,采用梯度洗脱模式。在标准化合物的实验对数P值与得到的对数k值之间绘制校准曲线,得到最佳拟合线。在同一溶剂体系中测定新药先导物的log k值,并利用最佳拟合方程计算各自的log P值。log P与log k数据的最佳拟合线性曲线R2为0.9786,截距和斜率的P值分别为1.19 x 10(-6)和1.56 x 10(-10),显著性水平为0.05。测定了15种新药物先导物及其相关化合物的Log P值,它们均为大环多胺及其金属配合物的衍生物。所得值与使用ChemDraw Ultra 12.0计算的log P (Clog P)值密切相关。本实验采用反相高效液相色谱法对新药先导物的log P值进行了高效、快速、合理的估计。
Determination of log P values of new cyclen based antimalarial drug leads using RP-HPLC.
Lipophilicity, expressed by log P, is an important physicochemical property of drugs that affects many biological processes, including drug absorption and distribution. The main purpose of this study to determine the log P values of newly discovered drug leads using reversed-phase high-performance liquid chromatography (RP-HPLC). The reference standards, with varying polarity ranges, were dissolved in methanol and analyzed by RP-HPLC using a C18 column. The mobile phase consisted of a mixture of acetonitrile, methanol and water in a gradient elution mode. A calibration curve was plotted between the experimental log P values and obtained log k values of the reference standard compounds and a best fit line was obtained. The log k values of the new drug leads were determined in the same solvent system and were used to calculate the respective log P values by using the best fit equation. The log P vs. log k data gave a best fit linear curve that had an R2 of 0.9786 with Pvalues of the intercept and slope of 1.19 x 10(-6) and 1.56 x 10(-10), respectively, at 0.05 level of significance. Log P values of 15 new drug leads and related compounds, all of which are derivatives of macrocyclic polyamines and their metal complexes, were determined. The values obtained are closely related to the calculated log P (Clog P) values using ChemDraw Ultra 12.0. This experiment provided efficient, fast and reasonable estimates of log P values of the new drug leads by using RP-HPLC.