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两代姜黄素共轭聚酰胺-胺树枝状大分子:使用亚得里亚拓扑指数对理化性质的比较分析

Curcumin-Conjugated PAMAM Dendrimers of Two Generations: Comparative Analysis of Physiochemical Properties Using Adriatic Topological Indices.

作者信息

D S Anuradha, Julietraja Konsalraj, Jaganathan B, Alsinai Ammar

机构信息

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai 632014, India.

Department of Mathematics, School of Engineering, Presidency University, Bengaluru 560064, India.

出版信息

ACS Omega. 2024 Mar 12;9(12):14558-14579. doi: 10.1021/acsomega.4c00686. eCollection 2024 Mar 26.

Abstract

Curcumin (CHO) is a polyphenol found in the plant . Even though it possesses many pharmacological effects, owing to its limited intestinal absorption, solubility, and oral bioavailability, it is more often used as a health supplement than as a lead chemical. The poly(amido)amine (PAMAM) dendrimer (nanostructure) is utilized to enhance the stability and targeted delivery of drugs. Recently, curcumin was conjugated with the PAMAM dendrimer and analyzed for its photostability. Further investigation into the physiochemical characteristics of different generations can facilitate curcumins' targeted delivery for many diseases, including cancer. However, many of these conjugates' physiochemical properties are not available in databases since they have not been explored theoretically or experimentally. In this article, QSAR/QSPR (quantitative structure-activity relationship/quantitative structure-property relationship) analysis of physiochemical properties was carried out for component structures, which produced encouraging results. Hence, 16 discrete adriatic topological indices and their associated entropy measures were evaluated to theoretically predict a few physiochemical properties of the conjugated structure. The predictions will aid the chemist in drug designing.

摘要

姜黄素(CHO)是一种存在于植物中的多酚。尽管它具有许多药理作用,但由于其肠道吸收、溶解度和口服生物利用度有限,它更多地被用作健康补充剂而非先导化学物质。聚酰胺胺(PAMAM)树枝状大分子(纳米结构)被用于增强药物的稳定性和靶向递送。最近,姜黄素与PAMAM树枝状大分子共轭,并对其光稳定性进行了分析。对不同代数的物理化学特性进行进一步研究,有助于姜黄素对包括癌症在内的多种疾病进行靶向递送。然而,由于这些共轭物的许多物理化学性质尚未在理论或实验上进行探索,因此在数据库中无法获取。在本文中,对组成结构进行了物理化学性质的定量构效关系/定量构性关系(QSAR/QSPR)分析,结果令人鼓舞。因此,评估了16个离散的亚得里亚海拓扑指数及其相关的熵度量,以从理论上预测共轭结构的一些物理化学性质。这些预测将有助于化学家进行药物设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89aa/10976413/c2ad63d08cb8/ao4c00686_0001.jpg

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