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通过诱导契合对接、药效团建模和定量构效关系研究深入了解组蛋白去乙酰化酶 8 的选择性和高效抑制作用。

An insight into selective and potent inhibition of histone deacetylase 8 through induced-fit docking, pharmacophore modeling and QSAR studies.

机构信息

Computational Chemistry Laboratory, Department of Chemistry, University of Delhi, Delhi, India.

出版信息

J Biomol Struct Dyn. 2020 Jan;38(1):48-65. doi: 10.1080/07391102.2019.1567388. Epub 2019 Feb 7.

Abstract

Histone deacetylase 8 (HDAC8) has emerged as an important therapeutic target due to its involvement in various cancerous and neurodegenerative disease states. Since pan HDAC inhibition has been linked to various side effects, the need of the hour is to develop inhibitors truly selective for one isoform. This work attempts to explore the structural basis of selective HDAC8 inhibition by docking, pharmacophore and 3 D QSAR studies of 53 highly potent and highly selective triazol-based hydroxamic acid inhibitors. The binding modes of these novel inhibitors have been explored via Glide XP (Extra Precision) and induced-fit docking (IFD) strategies. The IFD poses of highly active and selective inhibitors showed conformational changes in active site residues like Trp141, Phe152 and Phe208, which were further verified by molecular dynamics simulations. A new CH-π interaction, which is atypical of HDAC inhibitors, was also observed in case of some highly selective inhibitors. Two pharmacophore models have been proposed; one highlights the structural basis of potency of these inhibitors and the other focuses on the selectivity. The corresponding QSAR models, obtained from alignment of the inhibitors as per the proposed pharmacophore models, are highly statistically significant. These models highlight the importance of size of the hydrophobic and aromatic groups present in the inhibitors and their contribution to activity of the inhibitors. The ADMET properties of the ligand library have also been analyzed and the predicted descriptors have been correlated with activity using principal components analysis to gain insight into the effect of pharmacokinetic properties on the activity.Communicated by Ramaswamy H. Sarma.

摘要

组蛋白去乙酰化酶 8 (HDAC8) 已成为一个重要的治疗靶点,因为它参与了各种癌症和神经退行性疾病状态。由于泛 HDAC 抑制与各种副作用有关,因此现在的需求是开发真正针对一种同工酶的抑制剂。这项工作试图通过对接、药效团和三维定量构效关系研究来探索选择性 HDAC8 抑制的结构基础,这些研究基于 53 种高活性和高选择性的三唑基羟肟酸抑制剂。通过 Glide XP(高精度)和诱导契合对接(IFD)策略探索了这些新型抑制剂的结合模式。高度活跃和选择性抑制剂的 IFD 构象显示活性位点残基(如 Trp141、Phe152 和 Phe208)发生构象变化,这通过分子动力学模拟得到了进一步验证。在一些高度选择性抑制剂中还观察到了一种新的 CH-π 相互作用,这是非典型的 HDAC 抑制剂。提出了两个药效团模型;一个突出了这些抑制剂效力的结构基础,另一个则侧重于选择性。根据所提出的药效团模型对抑制剂进行排列后得到的相应 QSAR 模型具有高度统计学意义。这些模型强调了抑制剂中存在的疏水性和芳香性基团的大小及其对抑制剂活性的贡献的重要性。还分析了配体库的 ADMET 性质,并使用主成分分析将预测描述符与活性相关联,以深入了解药代动力学性质对活性的影响。由 Ramaswamy H. Sarma 传达。

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