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对从希腊矢车菊属植物中分离出的几种抗真菌倍半萜内酯的药代动力学特性进行VolSurf分析

VolSurf analysis of pharmacokinetic properties for several antifungal sesquiterpene lactones isolated from Greek Centaurea sp.

作者信息

Koukoulitsa Catherine, Geromichalos George D, Skaltsa Helen

机构信息

Department of Pharmacognosy & Chemistry of Natural Products, School of Pharmacy, University of Athens, Panepistimiopolis, Zografou, GR-157 71, Athens, Greece.

出版信息

J Comput Aided Mol Des. 2005 Aug;19(8):617-23. doi: 10.1007/s10822-005-9018-y. Epub 2005 Oct 28.

Abstract

Sesquiterpene lactones are terpenoid compounds characteristic of the Asteraceae (Compositae) possessing a variety of biological activities, such as cytotoxic, antitumor, antibacterial, and antifungal. The prediction of the pharmacokinetic profile of several antifungal sesquiterpene lactones, isolated from Greek taxa of Centaurea sp., was undertaken in this study using the VolSurf procedure. The molecules were projected on the following pre-calculated ADME models: Caco-2 cell permeability, plasma protein affinity, blood-brain barrier permeation and thermodynamic solubility. The in silico projection revealed a non optimal pharmacokinetic profile for the studied compounds. ADME in silico screening of a semi-synthetic derivatives virtual library has been performed in order to optimize the pharmacokinetic properties. A number of derivatives were proposed as it was predicted to have higher Caco-2 cell permeability, while the pharmacokinetic behaviour regarding BBB penetration, protein binding and solubility was mainly preserved.

摘要

倍半萜内酯是菊科特有的萜类化合物,具有多种生物活性,如细胞毒性、抗肿瘤、抗菌和抗真菌活性。本研究采用VolSurf程序对从希腊矢车菊属植物分类群中分离出的几种抗真菌倍半萜内酯的药代动力学特征进行了预测。将这些分子投影到以下预先计算的ADME模型上:Caco-2细胞通透性、血浆蛋白亲和力、血脑屏障通透性和热力学溶解度。计算机模拟投影显示,所研究的化合物药代动力学特征不理想。为了优化药代动力学性质,对一个半合成衍生物虚拟库进行了计算机辅助ADME筛选。提出了许多衍生物,因为预计它们具有更高的Caco-2细胞通透性,同时关于血脑屏障穿透、蛋白质结合和溶解度的药代动力学行为基本保持不变。

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