Hadni Hanine, Elhallaoui Menana
Engineering Materials, Modeling and Environmental Laboratory, Faculty of Sciences Dhar El mahraz, Sidi Mohammed Ben Abdellah University, B.P. 1796, Atlas, Fes, Morocco.
Heliyon. 2019 Aug 26;5(8):e02357. doi: 10.1016/j.heliyon.2019.e02357. eCollection 2019 Aug.
is one of the several targets in the treatment of malaria. Double and quadruple mutations at residues 51, 59, 108, and 164 of have been linked to antifolate resistance. Several efforts are underway to overcome this drug resistance and to produce potential inhibitors. In this regard, the quantitative structure-activity relationship (QSAR) and docking studies were performed for previously reported 4-anilinoquinoline and 1,3,5-triazines based molecular hybrids. The generated model showed good correlation coefficients (R = 0.70) and test set prediction coefficient (R = 0.74). These outcomes showed the good predictive competence of the established QSAR model. Based on these results we docked into active site of protein with the most active () and the less active () compounds. The docking results revealed that these molecules interact specifically with SER108 and ILE164 in the -DHFR binding pocket as that of best active compound but also showed additional interactions with LEU40 and GLY44.
是疟疾治疗中的几个靶点之一。在其51、59、108和164位残基处的双突变和四突变已与抗叶酸耐药性相关。目前正在进行多项努力来克服这种耐药性并开发潜在的抑制剂。在这方面,对先前报道的基于4-苯胺基喹啉和1,3,5-三嗪的分子杂化物进行了定量构效关系(QSAR)和对接研究。生成的模型显示出良好的相关系数(R = 0.70)和测试集预测系数(R = 0.74)。这些结果表明所建立的QSAR模型具有良好的预测能力。基于这些结果,我们将活性最高的()和活性较低的()化合物对接至蛋白的活性位点。对接结果表明,这些分子与-DHFR结合口袋中的SER108和ILE164特异性相互作用,如同最佳活性化合物那样,但也显示出与LEU40和GLY44的额外相互作用。