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从蒺藜科植物中分离得到的生物碱的 chemoinformatic 分析。

Chemoinformatic analysis of alkaloids isolated from Peganum genus.

机构信息

Department of Pharmacognosy, Faculty of Pharmacy, Hacettepe University, Sihhiye, 06100, Ankara, Turkey.

Department of General and Toxicological Chemistry, Azerbaijan Medical University, A. Gasimzade 14, AZ1022, Baku, Azerbaijan.

出版信息

Mol Divers. 2022 Aug;26(4):2257-2267. doi: 10.1007/s11030-021-10331-2. Epub 2021 Oct 21.

Abstract

Peganum genus is rich with its high phytochemical and botanical variability. Peganum species have been used as a sedative, antitumor, analgesic and antidepressant. This paper aims to study the molecular diversity of Peganum genus and to shed more light on the structure-activity relationship of the alkaloids isolated from Peganum genus. All Peganum alkaloids were grouped according to their structural properties. A chemoinformatic approach (SwissTargetPrediction) was used to determine the molecular targets of these alkaloids. To analyze and visualize the results, R software was used to generate hierarchical clustering heatmaps. The results of this study can help researchers to better understand the structure-activity relationship of Peganum alkaloids and how substitution can affect the biological activity of those alkaloids.

摘要

猪毛菜属植物富含丰富的植物化学物质和植物多样性。猪毛菜属植物被用作镇静剂、抗肿瘤、镇痛药和抗抑郁药。本文旨在研究猪毛菜属植物的分子多样性,并深入了解猪毛菜属植物中分离得到的生物碱的结构-活性关系。所有猪毛菜属生物碱根据其结构特性进行分组。使用化学信息学方法(SwissTargetPrediction)来确定这些生物碱的分子靶标。为了分析和可视化结果,使用 R 软件生成层次聚类热图。本研究的结果可以帮助研究人员更好地理解猪毛菜属生物碱的结构-活性关系,以及取代如何影响这些生物碱的生物活性。

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