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首页> 外文期刊>Molecules >Molecular Modeling Studies of 11 beta-Hydroxysteroid Dehydrogenase Type 1 Inhibitors through Receptor-Based 3D-QSAR and Molecular Dynamics Simulations
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Molecular Modeling Studies of 11 beta-Hydroxysteroid Dehydrogenase Type 1 Inhibitors through Receptor-Based 3D-QSAR and Molecular Dynamics Simulations

机译:通过基于受体的3D-QSAR对11种β-羟基类固醇脱氢酶1型抑制剂的分子建模研究和分子动力学模拟

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摘要

11 beta-Hydroxysteroid dehydrogenase type 1 (11 beta-HSD1) is a potential target for the treatment of numerous human disorders, such as diabetes, obesity, and metabolic syndrome. In this work, molecular modeling studies combining molecular docking, 3D-QSAR, MESP, MD simulations and free energy calculations were performed on pyridine amides and 1,2,4-triazolopyridines as 11 beta-HSD1 inhibitors to explore structure-activity relationships and structural requirement for the inhibitory activity. 3D-QSAR models, including CoMFA and CoMSIA, were developed from the conformations obtained by docking strategy. The derived pharmacophoric features were further supported by MESP and Mulliken charge analyses using density functional theory. In addition, MD simulations and free energy calculations were employed to determine the detailed binding process and to compare the binding modes of inhibitors with different bioactivities. The binding free energies calculated by MM/PBSA showed a good correlation with the experimental biological activities. Free energy analyses and per-residue energy decomposition indicated the van der Waals interaction would be the major driving force for the interactions between an inhibitor and 11 beta-HSD1. These unified results may provide that hydrogen bond interactions with Ser170 and Tyr183 are favorable for enhancing activity. Thr124, Ser170, Tyr177, Tyr183, Val227, and Val231 are the key amino acid residues in the binding pocket. The obtained results are expected to be valuable for the rational design of novel potent 11 beta-HSD1 inhibitors.
机译:11型β-羟基类固醇脱氢酶(11 beta-HSD1)是治疗多种人类疾病(例如糖尿病,肥胖症和代谢综合征)的潜在靶标。在这项工作中,对作为11种β-HSD1抑制剂的吡啶酰胺和1,2,4-三唑并吡啶类化合物进行了分子对接,3D-QSAR,MESP,MD模拟和自由能计算相结合的分子建模研究,以探索结构活性关系和结构抑制活性的要求。 3D-QSAR模型,包括CoMFA和CoMSIA,是通过对接策略获得的构象开发的。使用密度泛函理论的MESP和Mulliken电荷分析进一步支持了推导的药效学特征。另外,采用MD模拟和自由能计算来确定详细的结合过程并比较具有不同生物活性的抑制剂的结合方式。 MM / PBSA计算的结合自由能显示出与实验生物活性的良好相关性。自由能分析和每个残基的能量分解表明,范德华相互作用将是抑制剂与11β-HSD1之间相互作用的主要驱动力。这些统一的结果可能提供与Ser170和Tyr183的氢键相互作用有利于增强活性。 Thr124,Ser170,Tyr177,Tyr183,Val227和Val231是结合口袋中的关键氨基酸残基。预期获得的结果对于合理设计新型有效的11β-HSD1抑制剂具有重要的价值。

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