2,4-disubstituted 6-fluoroquinolines as potent antiplasmodial agents: QSAR, homology modeling, molecular docking and ADMET studies

IF 1.5 Q2 MEDICINE, GENERAL & INTERNAL Journal of Taibah University Medical Sciences Pub Date : 2023-11-23 DOI:10.1016/j.jtumed.2023.11.006
Gideon A. Shallangwa PhD , Aliyu W. Mahmud MSc , Adamu Uzairu PhD , Muhmmad T. Ibrahim PhD
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Abstract

Objective

This work was designed to study 2,4-disubstituted 6-fluoroquinolines as antiplasmodial agents by using in silico techniques, to aid in the design of novel analogs with high potency against malaria and high inhibition of Plasmodium falciparum translation elongation factor 2 (PfeEF2), a novel drug target.

Methods

Quantitative structure-activity relationships (QSAR) of 2,4-disubstituted 6-fluoroquinolines were studied with the genetic function approximation technique in Material Studio software. The 3D structure of PfeEF2 was modeled in the SWISS-MODEL workspace through homology modeling. A molecular docking study of the modeled PfeEF2 and 2,4-disubstituted 6-fluoroquinolines was conducted with Autodock Vina in Pyrx software. Furthermore, the in silico pharmacokinetic properties of selected compounds were investigated.

Results

A robust, reliable and predictive QSAR model was developed that related the chemical structures of 2,4-disubstituted 6-fluoroquinolines to their antiplasmodium activities. The model had an internal squared correlation coefficient R2 of 0.921, adjusted squared correlation coefficient R2adj of 0.878, leave-one-out cross-validation coefficient Q2cv of 0.801 and predictive squared correlation coefficient R2pred of 0.901. The antiplasmodium activity of 6-fluoroquinolines was found to depend on the n5Ring, GGI9, TDB7u, TDB8u and RDF75i physicochemical properties: n5Ring, TDB8u and RDF75i were positively associated, whereas GGI9 and TDB7u were negatively associated, with the antiplasmodium activity of the compounds. Stable complexes formed between the compounds and modeled PfeEF2, with binding affinity ranging from −8.200 to −10.700 kcal/mol. Compounds 5, 11, 16, 22 and 24 had better binding affinities than quinoline-4-carboxamide (DDD107498), as well as good pharmacokinetic properties, and therefore may be better inhibitors of this novel target.

Conclusion

QSAR and docking studies provided insight into designing novel 2,4-disubstituted 6-fluoroquinolines with high antiplasmodial activity and good structural properties for inhibiting a novel antimalarial drug target.

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作为强效抗疟药物的 2,4-二取代 6-氟喹啉类化合物:QSAR、同源建模、分子对接和 ADMET 研究
目的这项工作旨在利用硅学技术研究作为抗疟药物的 2,4-二取代 6-氟喹啉类化合物,以帮助设计对疟疾具有高效力和对恶性疟原虫翻译延伸因子 2(PfeEF2)(一种新型药物靶标)具有高抑制作用的新型类似物。方法利用 Material Studio 软件中的遗传函数近似技术研究了 2,4-二取代 6-氟喹啉类药物的定量结构-活性关系(QSAR)。通过同源建模,在 SWISS-MODEL 工作空间中对 PfeEF2 的三维结构进行了建模。利用 Pyrx 软件中的 Autodock Vina 对建模的 PfeEF2 和 2,4-二取代 6-氟喹啉进行了分子对接研究。结果 建立了一个稳健、可靠且具有预测性的 QSAR 模型,该模型将 2,4-二取代 6-氟喹啉类化合物的化学结构与它们的抗疟原虫活性联系起来。该模型的内部平方相关系数 R2 为 0.921,调整平方相关系数 R2adj 为 0.878,留空交叉验证系数 Q2cv 为 0.801,预测平方相关系数 R2pred 为 0.901。研究发现,6-氟喹啉类化合物的抗疟原虫活性与 n5Ring、GGI9、TDB7u、TDB8u 和 RDF75i 的理化性质有关:n5Ring、TDB8u 和 RDF75i 与化合物的抗疟原虫活性呈正相关,而 GGI9 和 TDB7u 与化合物的抗疟原虫活性呈负相关。化合物与模型 PfeEF2 之间形成了稳定的复合物,结合亲和力在 -8.200 至 -10.700 kcal/mol 之间。与喹啉-4-甲酰胺(DDD107498)相比,化合物 5、11、16、22 和 24 具有更好的结合亲和力以及良好的药代动力学特性,因此可能是这一新型靶点的更好的抑制剂。
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来源期刊
Journal of Taibah University Medical Sciences
Journal of Taibah University Medical Sciences MEDICINE, GENERAL & INTERNAL-
CiteScore
3.40
自引率
4.50%
发文量
130
审稿时长
29 days
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