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| N-取代马来酰亚胺类hMGL抑制剂的3D-QSAR、分子对接和分子动力学研究 |
| 3D QSAR, Molecular Docking and Dynamics Simulations Studies of N- substituted Maleimide Derivatives as hMGL Inhibitors |
| 投稿时间：2023-12-28 修订日期：2024-01-26 |
| DOI： |
| 中文关键词: N-取代马来酰亚胺类衍生物 人单酰甘油脂肪酶 3D-QSAR 分子对接 分子动力学 |
| 英文关键词:N-substituted maleimide derivatives, hMGL, 3D-QSAR, Molecular docking, Molecular dynamics simulations |
| 基金项目:山西省基础研究计划（20210302123300）；山西省“黄芪”资源产业化与产业国际化协同创新中心项目（HQXTCXZXX2016-021）；山西省“1331工程”创新团队建设“黄芪活性分子作用机制与健康产品研发创新团队”（2018-4培育No.11）；山西省自然科学基金“双功能药物修饰纳米金的制备及抗肿瘤活性研究”（201601D011112）；国家重点研发计划（2019YFC1710803）资助 |
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| 中文摘要: |
| 本文通过三维定量构效关系(3D-QSAR)建模、分子对接和分子动力学模拟,探讨了41个N-取代马来酰亚胺类衍生物与人单酰甘油脂肪酶(hMGL)的相互作用,并构建了相关模型。其中,比较分子力场分析模型(CoMFA、q2 = 0. 541、r2 = 0. 972)和比较分子相似性指数分析模型(CoMSIA、q2 = 0. 588、r2 = 0. 919)具有较好的预测能力。QSAR模型等势图阐明了该系列化合物生物活性与结构的关系,并依此设计了系列衍生物。采用分子对接和分子动力学模拟探讨了高活性化合物36、46与hMGL(PDB ID: 3PE6)的结合模式和稳定性,结果表明二者主要通过氢键和疏水相互作用与hMGL结合并且形成了稳定的复合物。随后对pIC50预测值优于文献报道中最高活性化合物36的8个衍生物进行分子对接和ADMET预测,选择2个衍生物进行分子动力学模拟,结果表明2个衍生物分别与hMGL形成的复合物结合构象稳定。本研究为新型N-取代马来酰亚胺类单酰甘油脂肪酶抑制剂的开发提供了理论依据。 |
| 英文摘要: |
| In this project, the interactions between N-substituted maleimide derivatives and human monoglyceride lipase (hMGL) were investigated using 3D quantitative structure-activity relationship (3D-QSAR) modeling, molecular docking, and molecular dynamics simulations. The resulting models, comparative molecular field analysis (CoMFA, q2 = 0.541, r2 = 0.972) and comparative molecular similarity index analysis (CoMSIA, q2 = 0.588, r2 = 0.919), exhibited a high level of predictive accuracy. The contour maps generated by the QSAR models provided insights into the correlation between the chemical structure of N-substituted maleimide derivatives and their biological activity. Based on these insights, 40 derivatives were designed accordingly. Additionally, molecular docking and molecular dynamics simulations were employed to investigate the binding mode and stability of the potent compounds 36 and 46 with hMGL (PDB ID: 3PE6). The findings indicated that both compounds primarily interact with hMGL through hydrogen bonding and hydrophobic interactions, leading to the formation of stable complexes. Subsequently, molecular docking and ADMET prediction were conducted for 8 derivatives with predicted pIC50 values higher than the pIC50 value of the most active compound 36. 2 derivatives were selected for molecular dynamics simulations, and the results indicated that the complexes formed by two derivatives with hMGL were conformationally stable. These research results provide a theoretical basis for the development of powerful N-substituted maleimide derivatives as hMGL inhibitors. |
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