Kaddouri Yassine, Abrigach Farid, Ouahhoud Sabir, Benabbes Redouane, El Kodadi Mohamed, Alsalme Ali, Al-Zaqri Nabil, Warad Ismail, Touzani Rachid
Laboratory of Applied Chemistry and Environment (LCAE), Faculty of Sciences, University Mohammed Premier, Oujda, Morocco.
Laboratory of Biochemistry (LB), Department of Biology, Faculty of Sciences, University Mohamed Premier, Oujda, Morocco.
Front Chem. 2020 Dec 11;8:559262. doi: 10.3389/fchem.2020.559262. eCollection 2020.
Twelve recent compounds, incorporating several heterocyclic moieties such as pyrazole, thiazole, triazole, and benzotriazole, made in excellent yield up to 37-99.6%. They were tested against . sp. fungi (Bayoud disease), where the best results are for compounds , , and with IC = 18.8-54.4 μg/mL. Density functional theory (DFT) study presented their molecular reactivity, while the docking simulations to describe the synergies between the trained compounds of dataset containing all the tested compounds (57 molecules) and phytase domain (Fophy) enzyme as biological target. By comparing the results of the docking studies for the Fophy protein, it is found that compound has the best affinity followed by compounds and , so there is good agreement with the experimental results where their IC values are in the following order: 74.28 () < 150 () < 214.10 (), using Blind docking/virtual screening of the homology modeled protein and two different tools as Autodock Vina and Dockthor web tool that gave us predicted sites for further antifungal drug design.
最近合成了12种化合物,其中包含吡唑、噻唑、三唑和苯并三唑等几种杂环部分,产率高达37 - 99.6%。它们针对. sp. 真菌(巴约德病)进行了测试,其中化合物 、 和 的效果最佳,IC = 18.8 - 54.4 μg/mL。密度泛函理论(DFT)研究展示了它们的分子反应活性,同时进行对接模拟以描述包含所有测试化合物(57个分子)的数据集的训练化合物与作为生物靶点的植酸酶结构域(Fophy)酶之间的协同作用。通过比较Fophy蛋白对接研究的结果,发现化合物 的亲和力最佳,其次是化合物 和 ,因此与实验结果有很好的一致性,其IC值顺序如下:74.28 () < 150 () < 214.10 (),使用同源建模蛋白的盲对接/虚拟筛选以及Autodock Vina和Dockthor网络工具这两种不同工具,为进一步的抗真菌药物设计提供了预测位点。