Discovery of natural products for dual pharmacology CETP inhibitors and niacin receptor agonists

Lian-sheng Qiao, Yilian Cai, Yusu He, Yongqiang Yang, Ludi Jiang, Yanling Zhang
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Abstract

Dyslipidemia is a leading causative factor in cardiovascular diseases, and the traditional modulating lipid drugs mainly focus on reducing Low Density Lipoprotein Cholesterol (LDL-C). However, the increase of High Density Lipoprotein Cholesterol (HDL-C) also has gradually become an important focus on modulating lipid drugs. It is universally acknowledged that the drugs for significantly increasing HDL-C act on either the niacin receptor or cholesteryl ester transfer protein (CETP). Therefore, by comprehensively considering advantages and shortness of these two drug targets, compounds which act on the dual targets were studied in this paper. To be specific, a HipHop pharmacophore model for CETP inhibitors was built firstly, and then the pharmacophore model was validated internally and externally. The best pharmacophore model for CETP inhibitors included one hydrogen bond acceptor, four hydrophobic groups and two ring aromatics. In addition, the common basic structure of niacin receptor agonists was analyzed, and the novel basic structure was designed by bioisosterism principle. Afterward, the database of niacin receptor agonists, including 214 compounds, was established by fragment searching from traditional Chinese medicine database (TCMD, version 2009) and Lipinski' rules. Finally, five natural products with dual targets activity were gained by using CETP inhibitors pharmacophore model to screen the molecular database of niacin receptor agonists, which provided the study of dual-targets drug design with a reliable utility.
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发现CETP抑制剂和烟酸受体激动剂的双重药理天然产物
血脂异常是心血管疾病的主要致病因素,传统的调脂药物主要侧重于降低低密度脂蛋白胆固醇(LDL-C)。然而,高密度脂蛋白胆固醇(HDL-C)的升高也逐渐成为调脂药物的重要关注点。众所周知,显著提高HDL-C的药物作用于烟酸受体或胆固醇酯转移蛋白(CETP)。因此,综合考虑这两种药物靶点的优缺点,本文对作用于这两种药物靶点的化合物进行了研究。首先建立了CETP抑制剂的HipHop药效团模型,并对药效团模型进行了内外验证。CETP抑制剂最佳药效团模型包括1个氢键受体、4个疏水性基团和2个环芳烃。此外,分析了烟酸受体激动剂常见的基本结构,并利用生物等构原理设计了新的基本结构。随后,从中药数据库(TCMD, 2009版)中检索片段,结合Lipinski规则,建立烟酸受体激动剂数据库,共214个化合物。最后,利用CETP抑制剂药效团模型筛选烟酸受体激动剂分子数据库,获得了5种具有双靶点活性的天然产物,为研究双靶点药物设计提供了可靠的依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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