3D-QSAR-based design, synthesis and biological evaluation of 2,4-disubstituted quinoline derivatives as antimalarial agents.

IF 2.3 3区 环境科学与生态学 Q3 CHEMISTRY, MULTIDISCIPLINARY
V K Vyas, S Bhati, M Sharma, P Gehlot, N Patel, S Dalai
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引用次数: 0

Abstract

2,4-Disubstituted quinoline derivatives were designed based on a 3D-QSAR study, synthesized and evaluated for antimalarial activity. A large dataset of 178 quinoline derivatives was used to perform a 3D-QSAR study using CoMFA and CoMSIA models. PLS analysis provided statistically validated results for CoMFA (r2ncv = 0.969, q2 = 0.677, r2cv = 0.682) and CoMSIA (r2ncv = 0.962, q2 = 0.741, r2cv = 0.683) models. Two series of a total of 40 2,4-disubstituted quinoline derivatives were designed with amide (quinoline-4-carboxamide) and secondary amine (4-aminoquinoline) linkers at the -C4 position of the quinoline ring. For the purpose of selecting better compounds for synthesis with good pEC50 values, activity prediction was carried out using CoMFA and CoMSIA models. Finally, a total of 10 2,4-disubstituted quinoline derivatives were synthesized, and screened for their antimalarial activity based on the reduction of parasitaemia. Compound #5 with amide linker and compound #19 with secondary amine linkers at the -C4 position of the quinoline ring showed maximum reductions of 64% and 57%, respectively, in the level of parasitaemia. In vivo screening assay confirmed and validated the findings of the 3D-QSAR study for the design of quinoline derivatives.

基于三维QSAR的抗疟药物2,4-二取代喹啉衍生物的设计、合成和生物学评价。
2,4-二取代喹啉衍生物是在3D-QSAR研究的基础上设计、合成并评价其抗疟活性的。178个喹啉衍生物的大型数据集用于使用CoMFA和CoMSIA模型进行3D-QSAR研究。PLS分析提供了CoMFA(r2ncv=0.969,q2=0.677,r2cv=0.682)和CoMSIA(r2ncv=0.962,q2=0.741,r2cv0.683)模型的统计验证结果。在喹啉环的-C4位设计了两个系列的2,4-二取代喹啉衍生物,共40个。为了选择具有良好pEC50值的用于合成的更好的化合物,使用CoMFA和CoMSIA模型进行活性预测。最后,合成了10种2,4-二取代喹啉衍生物,并根据其降低寄生虫血症的作用对其抗疟活性进行了筛选。在喹啉环的-C4位置具有酰胺连接体的化合物#5和具有仲胺连接体的混合物#19在寄生虫血症水平上分别显示出64%和57%的最大降低。体内筛选试验证实并验证了喹啉衍生物设计的3D-QSAR研究结果。
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来源期刊
CiteScore
5.20
自引率
20.00%
发文量
78
审稿时长
>24 weeks
期刊介绍: SAR and QSAR in Environmental Research is an international journal welcoming papers on the fundamental and practical aspects of the structure-activity and structure-property relationships in the fields of environmental science, agrochemistry, toxicology, pharmacology and applied chemistry. A unique aspect of the journal is the focus on emerging techniques for the building of SAR and QSAR models in these widely varying fields. The scope of the journal includes, but is not limited to, the topics of topological and physicochemical descriptors, mathematical, statistical and graphical methods for data analysis, computer methods and programs, original applications and comparative studies. In addition to primary scientific papers, the journal contains reviews of books and software and news of conferences. Special issues on topics of current and widespread interest to the SAR and QSAR community will be published from time to time.
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