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. 2020 Apr 18;6(4):e03580. doi: 10.1016/j.heliyon.2020.e03580. eCollection 2020 Apr.
The development of multi-resistant strains of plasmodium parasite has become a global problem, therefore, the discovery of new antimalarial agents is the only available solution. In order to improve and propose new compounds with antimalarial activity, the three-dimensional quantitative structure-activity relationship (3D-QSAR) and molecular docking studies were carried on aurone analogues acting as Qo site inhibitors in cytochrome b. The 3D-QSAR model was established in this study based on the Comparative Molecular Field Analysis (CoMFA) and the Comparative Molecular Similarity Indices Analysis (CoMSIA). The good predictability was obtained using the CoMFA model (Q = 0.5; R = 0.97; = 0.72) and the best CoMSIA model (Q = 0.526; R = 0.915; 0.765). The predictive capacity of the developed model was evaluated through external validation using a test set compound and an applicability domain technique. In this study, the Steric, electrostatic and hydrogen bond acceptor fields played a key role in antimalarial activity. The results of the molecular docking revealed theoretically the importance of the residues his183 and his82 in the active site of the heme b, this result was validated by a new assessment method. Based on the previous results, we designed several new potent Cytochrome b inhibitors and their inhibitory activities were predicted by the best model. Furthermore, these new inhibitors were analyzed for their ADMET properties and drug likeness. These results would be of great help in leading optimization for new drug discovery that can solve the problem of multiple drug resistance.
疟原虫多抗性菌株的出现已成为一个全球性问题,因此,发现新的抗疟药物是唯一可行的解决办法。为了改进并提出具有抗疟活性的新化合物,对作为细胞色素b中Qo位点抑制剂的噢哢类似物进行了三维定量构效关系(3D-QSAR)和分子对接研究。本研究基于比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)建立了3D-QSAR模型。使用CoMFA模型(Q = 0.5;R = 0.97; = 0.72)和最佳的CoMSIA模型(Q = 0.526;R = 0.915; 0.765)获得了良好的预测性。通过使用测试集化合物和适用域技术进行外部验证,评估了所开发模型的预测能力。在本研究中,空间、静电和氢键受体场在抗疟活性中起关键作用。分子对接结果从理论上揭示了血红素b活性位点中his183和his82残基的重要性,这一结果通过一种新的评估方法得到了验证。基于先前的结果,我们设计了几种新的强效细胞色素b抑制剂,并通过最佳模型预测了它们的抑制活性。此外,对这些新抑制剂的ADMET性质和药物相似性进行了分析。这些结果将对先导优化以发现能够解决多重耐药性问题的新药有很大帮助。