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基于天然色谱-效应相关性 (NCEC) 和天然结构-效应相关性 (NSEC) 从中药中发现先导化合物的策略:以阔叶十大功劳和功劳木为例。

A strategy to discover lead chemome from traditional Chinese medicines based on natural chromatogram-effect correlation (NCEC) and natural structure-effect correlation (NSEC): Mahonia bealei and Mahonia fortunei as a case study.

机构信息

Key Laboratory for Identification and Quality Evaluation of Traditional Chinese Medicine of Liaoning Province, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China; Key Laboratory of Ministry of Education for Traditional Chinese Medicine Visera-State Theory and Application, Liaoning University of Traditional Chinese Medicine, Shenyang 110847, China.

Key Laboratory for Identification and Quality Evaluation of Traditional Chinese Medicine of Liaoning Province, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2021 Sep 1;1181:122922. doi: 10.1016/j.jchromb.2021.122922. Epub 2021 Sep 2.

Abstract

Lead compound is an important concept for modern drug discovery. In this study, a new concept of lead chemome and an efficient strategy to discover lead chemome were proposed. Compared with the concept of lead compound, lead chemome can provide not only the starting point for drug development, but also the direction for structure optimization. Two traditional Chinese medicines of Mahonia bealei and Mahonia fortunei were used as examples to illustrate the strategy. Based on natural chromatogram-effect correlation (NCEC), berberine, palmatine and jatrorrhizine were discovered as acetylcholinesterase (AchE) inhibitors. Taking the three compounds as template molecules, a lead chemome consisting of 10 structurally related natural compounds were generated through natural structure-effect correlation (NSEC). In the lead chemome, the IC values of jatrorrhizine, berberine, coptisine, palmatine and epiberberine are at nanomolar level, which are comparable to a widely used drug of galantamine. Pharmacophore modeling shows that the positive ionizable group and aromatic rings are important substructures for AchE inhibition. Molecular docking further shows that pi-cation interaction and pi-pi stacking are critical for compounds to maintain nanomolar IC values. The structure-activity information is helpful for drug design and structure optimization. This work also expanded the traditional understanding of "stem is the medicinal part of Mahonia bealei and Mahonia fortunei". Actually, all parts except the leaf of Mahonia bealei exhibited potent AchE-inhibitory activity. This study provides not only a strategy to discover lead chemome for modern drug development, but also a reference for the application of different parts of medicinal plants.

摘要

先导化合物是现代药物发现的一个重要概念。本研究提出了先导化学物的新概念和发现先导化学物的有效策略。与先导化合物的概念相比,先导化学物不仅可以为药物开发提供起点,还可以为结构优化提供方向。本研究以两种传统中药黄连和十大功劳为例来说明该策略。基于天然色谱-效应相关性(NCEC),发现小檗碱、巴马汀和药根碱是乙酰胆碱酯酶(AchE)抑制剂。以这三个化合物为模板分子,通过天然结构-效应相关性(NSEC)生成了一个由 10 个结构相关天然化合物组成的先导化学物库。在先导化学物库中,药根碱、小檗碱、黄连碱、巴马汀和表小檗碱的 IC 值均达到纳摩尔水平,与广泛使用的加兰他敏药物相当。药效团模型表明,正可离子化基团和芳环是 AchE 抑制的重要亚结构。分子对接进一步表明,π-阳离子相互作用和π-π堆积对化合物保持纳摩尔 IC 值至关重要。结构活性信息有助于药物设计和结构优化。这项工作还扩展了“黄连和十大功劳的茎是药用部分”的传统认识。实际上,除了十大功劳的叶子之外,其他部分都表现出很强的 AchE 抑制活性。本研究不仅为现代药物开发提供了发现先导化学物的策略,也为药用植物不同部位的应用提供了参考。

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