噻嗪醌类衍生物抗疟药物:3D-QSAR研究、分子对接和分子动力学模拟

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引用次数: 1

摘要

由恶性疟原虫引起的疟疾是全世界数百万人面临的主要威胁之一,它通常通过雌性按蚊叮咬传播给人类。因此,针对这种寄生虫感染设计新的化疗药物是很重要的;基于这一思路,我们利用一系列噻嗪醌类化合物生成了3D-QSAR模型,并进行了分子对接。此外,使用GROMACS进行分子动力学模拟,证实了所选复杂系统在2ns内的稳定性。采用比较分子场分析(CoMFA)和比较分子相似指数分析(CoMSIA)方法,利用PLS方法构建预测3D-QSAR模型。结果表明,高值R2=0.96;Q2 = 0.81;R2= 0.91, R2= 0.97;Q2 = 0.88;CoMFA和CoMSIA模型的R2pred分别为0.81。分子对接结果表明,活性最高的分子与Ser 111有两个氢键,活性较低的分子则不存在这种氢键。通过计算均方根偏差(RMSD)、均方根波动(RMSF)和旋转半径(Rg)来衡量目标物与化合物之间的稳定性、柔韧性和平均距离,结果良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thiazinoquinones Derivatives as Antimalarial Agents: 3D-QSAR Studies, Molecular Docking and Molecular Dynamics Simulations
Malaria due to the plasmodium falciparum parasite is one of the major threats to millions of people worldwide, which is usually transmitted to humans by the bite of female anopheles mosquitoes. For this reason, the design of new chemotherapeutic drugs against this parasite infection is important; with this idea, a series of Thiazinoquinones have been used to generate 3D-QSAR models, and molecular docking was performed. In addition, Molecular Dynamics simulations confirmed the stability of the selected complex systems during 2 ns using GROMACS. Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) methods were used to construct predictive 3D-QSAR models using the PLS method. The result shows high values of R2=0.96; Q2=0.81; R2pred=0.91 and R2= 0.97; Q2= 0.88; R2pred= 0.81 for CoMFA and CoMSIA models, respectively. The molecular docking results showed that the most active molecules have two hydrogen bonds with Ser 111, this type of bond is absent in the case of the less active molecule. To measure the stability, flexibility, and average distance between the target and compounds, root means square deviations (RMSD), root means square fluctuation (RMSF), and radius of gyration (Rg) was calculated and showed a good result.
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