Suppr超能文献

槟榔(L.)中化合物的结构物理化学性质、分子指纹图谱及化学空间多样性的化学信息学探索

Cheminformatics Exploration of Structural Physicochemical Properties, Molecular Fingerprinting, and Diversity of the Chemical Space of Compounds from Betel Nut ( L.).

作者信息

Li Yubing, Wang Xinyue, Sun Haixuan, Wang Hongxin, Ma Chaoyang

机构信息

School of Food Science and Technology, Jiang Nan University, Wuxi, Jiangsu 214122, China.

State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu 214122, China.

出版信息

ACS Omega. 2024 Dec 30;10(1):1551-1561. doi: 10.1021/acsomega.4c09386. eCollection 2025 Jan 14.

Abstract

In this work, the characterization and diversity of 347 compounds from betel nut ( L.) were analyzed for the first time. The dataset of compounds from betel nut (BNC) was compared to compounds from food. They were analyzed in terms of physicochemical properties, scaffold diversity, molecular fingerprints, and global diversity. Approximately 48% of compounds in the BNC confirm Lipinski's and Pfizer's rules. The pharmacological and toxicological properties of edible betel nut were evaluated based on their composition. This work applied the research methods of cheminformatics to food science, and it provided theoretical support and data for betel nut pharmacological research, development of betel nut-related novel medication, and healthy products.

摘要

在这项工作中,首次对来自槟榔(L.)的347种化合物进行了表征和多样性分析。将槟榔化合物数据集(BNC)与食品中的化合物进行了比较。从物理化学性质、骨架多样性、分子指纹和全局多样性方面对它们进行了分析。BNC中约48%的化合物符合Lipinski规则和辉瑞规则。基于其成分评估了食用槟榔的药理和毒理特性。这项工作将化学信息学的研究方法应用于食品科学,为槟榔药理研究、槟榔相关新药开发和健康产品提供了理论支持和数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/842c/11739985/efc45114704a/ao4c09386_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验