生物信息学
化学
铅化合物
立体化学
萜类
IC50型
组合化学
体外
生物化学
基因
作者
Kai-Xia Zhang,Peng-Ru Wang,Fei Chen,Xijing Qian,Jenshan Lin,Xiaojuan Liu,Lin Li,Yingxue Jin
出处
期刊:Current Computer - Aided Drug Design
[Bentham Science]
日期:2021-12-01
卷期号:17 (6): 831-837
被引量:6
标识
DOI:10.2174/1573409916666200827104008
摘要
Background: Licorice is widely used as a hepatoprotective herb for thousands of years in Traditional Chinese Medicine, and its main chemical constituent glycyrrhizin (GL) is used as a treatment for chronic hepatitis in Japan for over 20 years. 18β-Glycyrrhetinic acid (GA) is the main active metabolite of GL. Objective: Series of GA derivatives were designed and synthesized, and their anti-HCV activities were screened to investigate structure-activity relationship (SAR). Besides, their in-silico ADMET properties were analyzed to search for promising lead compound for further identification of anti-HCV terpenoid candidate. Methods: GA derivatives were synthesized via reactions of oxidation, oxime, rearrangement, esterification and acylation, etc. In vitro anti-HCV activity of derivatives was tested on the HCV cell culture (HCVcc) system. In-silico ADMET properties analysis were performed via “pkCSM” and “SwissADME” platforms. Results: Eighteen GA derivatives were synthesized and their structures were confirmed by MS and NMR spectrums. All compounds exhibited superior HCV inhibitory activity to that of GA. Compound 2 possessed the most potent anti-HCV activity with IC50 value of 0.79 μM, which is nearly 58 times potent than SA (a previously reported potent anti-HCV terpenoids) and >200 times than GA. SAR revealed the introduction of 3-oxo, short-chain (C1-C3) aliphatic alcohols or cyclic aliphatic amines is conducive to improving anti-HCV activity. In-silico ADMET prediction demonstrated most of the potent compounds possessed favorable ADMET properties. Conclusion: Structural modification of GA at 3-position and 30-position is an effective approach to searching for potent anti-HCV agents. Compound 2, with the most potent anti-HCV activity and favorable in-silico ADMET properties, is a promising lead compound for further identification of anti-HCV terpenoid candidate.
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