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吲哚 - 磺酰胺衍生物的抗癌和抗疟活性研究及相关研究

Investigations on Anticancer and Antimalarial Activities of Indole-Sulfonamide Derivatives and Studies.

作者信息

Pingaew Ratchanok, Mandi Prasit, Prachayasittikul Veda, Thongnum Anusit, Prachayasittikul Supaluk, Ruchirawat Somsak, Prachayasittikul Virapong

机构信息

Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok 10110, Thailand.

Department of Community Medical Technology, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand.

出版信息

ACS Omega. 2021 Nov 18;6(47):31854-31868. doi: 10.1021/acsomega.1c04552. eCollection 2021 Nov 30.

Abstract

A library of 44 indole-sulfonamide derivatives (-) were investigated for their cytotoxic activities against four cancer cell lines (i.e., HuCCA-1, HepG2, A549, and MOLT-3) and antimalarial effect. Most of the studied indoles exhibit anticancer activity against the MOLT-3 cell line, whereas only hydroxyl-containing bisindoles displayed anticancer activities against the other tested cancer cells as well as antimalarial effect. The most promising anticancer compounds were noted to be CF, Cl, and NO derivatives of hydroxyl-bearing bisindoles (, , and ), while the most promising antimalarial compound was an OCH derivative of non-hydroxyl-containing bisindole . Five quantitative structure-activity relationship (QSAR) models were successfully constructed, providing acceptable predictive performance (training set: = 0.6186-0.9488, RMSE = 0.0938-0.2432; validation set: = 0.4242-0.9252, RMSE = 0.1100-0.2785). QSAR modeling revealed that mass, charge, polarizability, van der Waals volume, and electronegativity are key properties governing activities of the compounds. QSAR models were further applied to guide the rational design of an additional set of 22 compounds (-) in which their activities were predicted. The prediction revealed a set of promising virtually constructed compounds (, , , , and ) for further synthesis and development as anticancer and antimalarial agents. Molecular docking was also performed to reveal possible modes of bindings and interactions between the studied compounds and target proteins. Taken together, insightful structure-activity relationship information obtained herein would be beneficial for future screening, design, and structural optimization of the related compounds.

摘要

对44种吲哚 - 磺酰胺衍生物(-)的文库进行了研究,考察它们对四种癌细胞系(即HuCCA - 1、HepG2、A549和MOLT - 3)的细胞毒性活性以及抗疟效果。大多数研究的吲哚对MOLT - 3细胞系表现出抗癌活性,而只有含羟基的双吲哚对其他测试癌细胞也表现出抗癌活性以及抗疟效果。最有前景的抗癌化合物是含羟基双吲哚的CF、Cl和NO衍生物(、和),而最有前景的抗疟化合物是不含羟基双吲哚的OCH衍生物。成功构建了五个定量构效关系(QSAR)模型,提供了可接受的预测性能(训练集:= 0.6186 - 0.9488,RMSE = 0.0938 - 0.2432;验证集:= 0.4242 - 0.9252,RMSE = 0.1100 - 0.2785)。QSAR建模表明,质量、电荷、极化率、范德华体积和电负性是控制这些化合物活性的关键性质。QSAR模型进一步应用于指导另外22种化合物(-)的合理设计,预测了它们的活性。预测结果显示了一组有前景的虚拟构建化合物(),可进一步合成并开发为抗癌和抗疟药物。还进行了分子对接,以揭示所研究化合物与靶蛋白之间可能的结合和相互作用模式。综上所述,本文获得的有洞察力的构效关系信息将有助于未来对相关化合物的筛选、设计和结构优化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e822/8638007/72f7e2d376a5/ao1c04552_0002.jpg

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