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Molecular docking and QSAR studies for modeling the antimalarial activity of hybrids 4-anilinoquinoline-triazines derivatives with the wild-type and mutant receptor pf-DHFR

机译:分子对接和QSAR研究用于模拟具有野生型和突变受体pf-DHFR的杂种4-苯胺基喹啉-三嗪衍生物的抗疟活性

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摘要

Plasmodium falciparum dihydrofolate reductase (pf-DHFR) is one of the several targets in the treatment of malaria. Double and quadruple mutations at residues 51, 59, 108, and 164 of pf-DHFR 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 (R2 = 0.70) and test set prediction coefficient (R2 = 0.74). These outcomes showed the good predictive competence of the established QSAR model. Based on these results we docked into active site of pf-DHFR protein with the most active (>4) and the less active (>5) compounds. The docking results revealed that these molecules interact specifically with SER108 and ILE164 in the pf-DHFR binding pocket as that of best active compound but also showed additional interactions with LEU40 and GLY44.
机译:恶性疟原虫二氢叶酸还原酶(pf-DHFR)是治疗疟疾的几种靶标之一。 pf-DHFR的残基51、59、108和164处的双重和四重突变与抗叶酸药物相关。为了克服这种抗药性并产生潜在的抑制剂,正在进行一些努力。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种进行了定量构效关系(QSAR)和对接研究。生成的模型具有良好的相关系数(R 2 = 0.70)和测试集预测系数(R 2 = 0.74)。这些结果表明已建立的QSAR模型具有良好的预测能力。根据这些结果,我们将pf-DHFR蛋白的活性位点停靠在活性最高(> 4 )和活性较低(> 5 )的化合物中。对接结果表明,这些分子与pf-DHFR结合口袋中的SER108和ILE164特异性相互作用,是最佳活性化合物,但还显示与LEU40和GLY44的其他相互作用。

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