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Computer‑aided molecular design of 2‑anilino 4‑amino substituted quinazolines derivatives as malarial inhibitors

机译:二氧化硅4-氨基取代喹唑啉衍生物作为疟疾抑制剂的计算机辅助分子设计

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Quantitative structure-activity relationship studies conducted on forty-five (45) derivatives of 2-anilino 4-amino substituted quinazolines as malaria inhibitors to determine the structures responsible for their antimalarial properties and design novel derivatives with improved activities. The molecular descriptors generated were selected to develop the theoretical model using the genetic approximation component of the material studio. The developed model found to be a function of ATSC8c, GATS8i, SpMin1_Bhi, JGI10, and TDB6u descriptors, shows excellent statistical parameters (R-2 = 0.7913, R-adj(2) = 0.7553, Q(2)cv = 0.7112, LOF = 0.2125, and R-pred(2) = 0.7650). The mean effect (MF) analysis revealed the descriptor SpMin1_Bhi, as the most influential by its largest percentage contribution (54%) to the developed model. The descriptor decodes the information on the first ionization potentials and was found to have positive MF. Hence, activity increases with increases the descriptor value. Structural modifications of the template (compound 13; pEC(50) = 7.387) using electron-withdrawing groups increases the descriptor value (first ionization potentials) of the template, which by extension increases the antimalarial activity lead to the design of ten (10) novel theoretical derivatives with improve antimalarial activities. Compound 3, N4-(3-bromo-5-fluorobenzyl)-N2-(4-fluorophenyl)-6,7-dimethoxyquinazoline-2,4-diamine was found to have the highest antimalarial activities among all the designed derivatives (pEC(50) = 8.0515).
机译:在2- anilino 4-氨基取代的喹唑啉的四十五(45)个衍生物上进行的定量结构 - 活性关系研究作为疟疾抑制剂,以确定负责其抗疟性性质和设计新的活动的结构。所产生的分子描述符被选择以使用材料工作室的遗传近似分量来开发理论模型。发现的开发模型是ATSC8C,GATS8I,SPMIN1_BHI,JGI10和TDB6U描述符的功能,显示出优异的统计参数(R-2 = 0.7913,R-adj(2)= 0.7553,Q(2)CV = 0.7112,LOF = 0.2125,R-PRED(2)= 0.7650)。平均效果(MF)分析显示了SPMin1_BHI的描述符,作为最大的百分比贡献(54%)到开发模型的最大影响。描述符对第一电离电位的信息进行解码,发现具有正MF。因此,随着描述符值的增加,活动增加。模板的结构修饰(化合物13; PEC(50)= 7.387)使用剔除组增加了模板的描述符值(第一电离电位),其通过延伸增加了抗疟活动导致Ten(10)的设计改善抗疟活动的新型理论衍生物。化合物3,N4-(3-溴-5-氟苄基)-N2-(4-氟苯基)-6,7-二甲氧基喹唑啉-2,4-二胺在所有设计的衍生物中具有最高的抗疟疾活动(PEC( 50)= 8.0515)。

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