Dipartimento di Chimica e Tecnologia del Farmaco, Università degli Studi di Perugia, Perugia, Italy.
Anal Bioanal Chem. 2011 Jul;401(1):267-74. doi: 10.1007/s00216-011-5082-4. Epub 2011 May 14.
In a line of research focused on the design, synthesis and development of new bile acid-based compounds, the physico-chemical profile of the molecules must be thoroughly explored and analyzed. In this scenario, a fast and reliable information on the critical micellar concentration (CMC) of specific compounds through a profitable chromatographic parameter can be of aid to rationally direct the synthesis of new molecular entities, mainly during the early stages of the drug-discovery process. The derived 'chromatographic hydrophobicity index' (CHI), usually employed for a fast access to the log P/log D value of physico-chemically diverse compounds and obtained via RP-gradient elution, was for the first time engaged in the bile acid field. Accordingly, 14 unconjugated bile acids harboured with a different number, position and orientation of hydroxy groups, as well as other substituents onto the steroidal backbone and side chain, were selected to build up a calibration curve. Such a collection of compounds was rationally assembled in order to manage an almost continuous range of CMC values (spanning the spectrophotometrically obtained CMCs between 5 and 25 mM). A high degree of correlation between CMC and CHI values was obtained (R(2) and cross-validated R(xv)(2) of the pCMC vs CHI plot equal to 0.975 and 0.966, respectively). A selected new subset of five confidential research bile acids with experimental CMCs in the range 6-19 mM was finally recruited to validate the proposed method. The high statistical quality of the established mathematical model turned out into a very appreciable predictive power.
在一项专注于设计、合成和开发新型胆汁酸化合物的研究中,必须彻底探索和分析分子的物理化学特性。在这种情况下,通过有利的色谱参数快速可靠地获取特定化合物的临界胶束浓度 (CMC) 信息,可以帮助合理指导新分子实体的合成,特别是在药物发现过程的早期阶段。衍生的“色谱疏水性指数”(CHI)通常用于快速获取具有不同物理化学性质的化合物的 log P/log D 值,并通过反相梯度洗脱获得,首次应用于胆汁酸领域。因此,选择了 14 种未结合的胆汁酸,它们具有不同数量、位置和取向的羟基以及甾体骨架和侧链上的其他取代基,以建立校准曲线。选择了这样一组化合物,以便管理几乎连续的 CMC 值范围(涵盖分光光度法获得的 5 至 25 mM 之间的 CMC)。CMC 和 CHI 值之间获得了高度相关性(pCMC 与 CHI 图的 R²和交叉验证 R²值分别为 0.975 和 0.966)。最后,招募了一组具有实验 CMC 值在 6-19 mM 范围内的五个机密研究胆汁酸作为新子集来验证所提出的方法。所建立的数学模型具有很高的统计质量,表现出非常可观的预测能力。