4.7 Article

Discovery of novel anti-cyanobacterial allelochemicals by multi-conformational QSAR approach

期刊

AQUATIC TOXICOLOGY
卷 256, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.aquatox.2023.106420

关键词

Cyanobacterial harmful algal bloom; Cyanobacteria; Allelochemical; Flavonoid; Quantitative structure-activity relationship

向作者/读者索取更多资源

Microcystis aeruginosa causes harmful algal blooms in freshwater environments, and has now spread to estuaries and coasts. This study used quantitative structure-activity relationship (QSAR) models to investigate the inhibitory activity of flavones against M. aeruginosa and identified six novel inhibitors. The predicted inhibitory activity of these flavones was confirmed experimentally, with diosmetin showing the highest inhibition rate.
Microcystis aeruginosa causes cyanobacterial harmful algal blooms (cHABs) in various freshwater environments. Due to global climate change, the cHABs have even spread to estuaries and coasts. Plant-derived flavones have been reported as allelochemicals that efficiently inhibit the growth of M. aeruginosa. Quantitative structure-activity relationship (QSAR) was applied to investigate the factors affecting the M. aeruginosa inhibitory activ-ity of flavones, and to discover novel allelochemicals against M. aeruginosa. We constructed 2D and 3D-QSAR models based on the half maximum inhibitory concentration (IC50) of 22 flavones against M. aeruginosa, using molecular descriptors from multiple stable conformations. Both models showed satisfactory performances (2D-QSAR: r2 = 0.899, q2 = 0.596, r2test = 0.801; 3D-QSAR: r2 = 0.810, q2 = 0.516, r2test = 0.897). The 2D-QSAR model indicates that the anti-cyanobacterial activity is positively correlated with minimum and maximum sur -face electrostatic potential, and negatively correlated with polarity index and polar surface area. Through the 3D-QSAR approach, electronegative hydroxyl groups in 5-and 4 '-position were favorable for the anti-cyanobacterial activity. In addition, we selected six untested flavones that fit the activity-favorable pattern of the visualized 3D-QSAR model. Five of the external flavones exhibited significant cyanobacterial inhibitory ability at their predicted IC50 by the 3D-QSAR model. In particular, diosmetin achieved an inhibition rate of 70.50 +/- 4.74%, which was much higher than expected. The flavones screened by the 3D-QSAR model are novel cyanobacterial inhibitors and should be fully exploited to mitigate cHABs.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据