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首页> 外文期刊>Journal of Biomolecular Structure and Dynamics >Combined pharmacophore modeling, 3D-QSAR and docking studies to identify novel HDAC inhibitors using drug repurposing
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Combined pharmacophore modeling, 3D-QSAR and docking studies to identify novel HDAC inhibitors using drug repurposing

机译:组合药效线建模,3D QSAR和对接研究,用于使用药物重新扫描识别新型HDAC抑制剂

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摘要

Histone deacetylases (HDACs), a critical family of epigenetic enzymes, has emerged as a promising target for antitumor drugs. Here, we describe our protocol of virtual screening in identification of novel potential HDAC inhibitors through pharmacophore modeling, 3D-QSAR, molecular docking and molecular dynamics (MD) simulation. Considering the limitation of current virtual screening works, drug repurposing strategy was applied to discover druggable HDAC inhibitor. The ligand-based pharmacophore and 3D-QSAR models were established, and their reliability was validated by different methods. Then, the DrugBank database was screened, followed by molecular docking. MD simulation (100 ns) was performed to further study the stability of ligand binding modes. Finally, results indicated the hit DB03889 with high in silico inhibitory potency was suitable for further experimental analysis.
机译:组蛋白脱乙酰酶(HDACS)是一系列表观遗传酶的临界家族,作为抗肿瘤药物的有希望的靶标。 在这里,我们通过药致造型,3D-QSAR,分子对接和分子动力学(MD)模拟来描述我们的虚拟筛选方案在鉴定新的潜在HDAC抑制剂。 考虑到当前虚拟筛选工作的限制,应用药物重新施用策略来发现可毒性的HDAC抑制剂。 建立了基于配体的药效线和3D QSAR模型,并通过不同的方法验证了它们的可靠性。 然后,筛选药物库数据库,然后进行分子对接。 进行MD模拟(100ns)以进一步研究配体结合模式的稳定性。 最后,结果表明了硅抑制效力高的HIT DB03889适用于进一步的实验分析。

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