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基于定量构效关系预测1,4 - 二氢吡啶类抗高血压药物的光敏性

Prediction of photosensitivity of 1,4-dihydropyridine antihypertensives by quantitative structure-property relationship.

作者信息

Ioele Giuseppina, De Luca Michele, Oliverio Filomena, Ragno Gaetano

机构信息

Department of Pharmaceutical Sciences, University of Calabria, 87036 Rende (Cs), Italy.

出版信息

Talanta. 2009 Oct 15;79(5):1418-24. doi: 10.1016/j.talanta.2009.06.009. Epub 2009 Jun 12.

Abstract

A quantitative structure-property relationships (QSPR) model, correlating the light sensitivity against theoretical molecular descriptors, was developed for a set of 1,4-dihydropyridine calcium channel antagonist drugs. These compounds are characterized by a high tendency to degradation when exposed to light, furnishing in the most of cases a related oxidation product from aromatization of the dihydropyridinic ring. Photodegradation was forced by exposing the drugs to a Xenon lamp, in accordance with the ICH international rules, and degradation kinetics was monitored by spectrophotometry. The photodegradation rates combined with a series of descriptors related to the chemical structures were computed by Partial Least Squares (PLS) multivariate analysis. An accurate selection of the variables, fitting at the best the PLS model, was performed. Two descriptors related to the substituent information on both the dihydropyridinic and benzenic rings and four molecular descriptors, were selected. The QSPR model was fully cross validated and then optimized with an external set of novel 1,4-dihydropyridine drugs, obtaining very satisfactory statistical results. The good agreement between predicted and measured photodegradation rate (R(2)=0.8727) demonstrated the high accuracy of the QSPR model in predicting the photosensitivity of the drugs belonging to this class. The model was finally proposed as an effective tool to design new congeneric molecules characterized by high photostability.

摘要

针对一组1,4 - 二氢吡啶类钙通道拮抗剂药物,建立了一种将光敏感性与理论分子描述符相关联的定量结构 - 性质关系(QSPR)模型。这些化合物的特点是在光照下极易降解,在大多数情况下会产生由二氢吡啶环芳构化形成的相关氧化产物。按照ICH国际规则,将药物置于氙灯下进行光降解实验,并通过分光光度法监测降解动力学。通过偏最小二乘法(PLS)多变量分析计算光降解速率以及一系列与化学结构相关的描述符。对变量进行了精确选择,以最佳方式拟合PLS模型。选择了两个与二氢吡啶环和苯环上取代基信息相关的描述符以及四个分子描述符。QSPR模型经过完全交叉验证,然后用一组新的1,4 - 二氢吡啶类药物进行外部优化,获得了非常令人满意的统计结果。预测的光降解速率与实测值之间的良好一致性(R(2)=0.8727)证明了QSPR模型在预测此类药物光敏感性方面的高精度性。该模型最终被提议作为设计具有高光稳定性的新同类分子的有效工具

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