首页> 外文OA文献 >Combined 3D-QSAR, Molecular Docking and Molecular Dynamics Study on Derivatives of Peptide Epoxyketone and Tyropeptin-Boronic Acid as Inhibitors Against the β5 Subunit of Human 20S Proteasome
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Combined 3D-QSAR, Molecular Docking and Molecular Dynamics Study on Derivatives of Peptide Epoxyketone and Tyropeptin-Boronic Acid as Inhibitors Against the β5 Subunit of Human 20S Proteasome

机译:组合的3D-QSAR,分子对接和分子动力学研究肽环氧酮和酪肽素-硼酸作为抗人20S蛋白酶体β5亚基的抑制剂

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摘要

An abnormal ubiquitin-proteasome is found in many human diseases, especially in cancer, and has received extensive attention as a promising therapeutic target in recent years. In this work, several in silico models have been built with two classes of proteasome inhibitors (PIs) by using 3D-QSAR, homology modeling, molecular docking and molecular dynamics (MD) simulations. The study resulted in two types of satisfactory 3D-QSAR models, i.e., the CoMFA model (Q2 = 0.462, R2pred = 0.820) for epoxyketone inhibitors (EPK) and the CoMSIA model (Q2 = 0.622, R2pred = 0.821) for tyropeptin-boronic acid derivatives (TBA). From the contour maps, some key structural factors responsible for the activity of these two series of PIs are revealed. For EPK inhibitors, the N-cap part should have higher electropositivity; a large substituent such as a benzene ring is favored at the C6-position. In terms of TBA inhibitors, hydrophobic substituents with a larger size anisole group are preferential at the C8-position; higher electropositive substituents like a naphthalene group at the C3-position can enhance the activity of the drug by providing hydrogen bond interaction with the protein target. Molecular docking disclosed that residues Thr60, Thr80, Gly106 and Ser189 play a pivotal role in maintaining the drug-target interactions, which are consistent with the contour maps. MD simulations further indicated that the binding modes of each conformation derived from docking is stable and in accord with the corresponding structure extracted from MD simulation overall. These results can offer useful theoretical references for designing more potent PIs.
机译:异常的泛素-蛋白酶体在许多人类疾病中,尤其是在癌症中被发现,并且作为一种有希望的治疗靶标近年来受到了广泛关注。在这项工作中,通过使用3D-QSAR,同源性建模,分子对接和分子动力学(MD)模拟,使用两类蛋白酶体抑制剂(PI)建立了几种计算机模型。该研究得出了两种令人满意的3D-QSAR模型,即对于环氧酮抑制剂(EPK)的CoMFA模型(Q2 = 0.462,R2pred = 0.820)和对于酪肽素-硼酸的CoMSIA模型(Q2 = 0.622,R2pred = 0.821)。酸衍生物(TBA)。从等高线图中,揭示了负责这两个PI系列活动的关键结构因素。对于EPK抑制剂,N帽部分应具有较高的正电性;在C6-位有利于大取代基如苯环。就TBA抑制剂而言,具有较大尺寸的茴香醚基团的疏水性取代基在C8位是优先的; C3位上的较高电正性取代基(如萘基)可以通过与蛋白质靶标之间形成氢键相互作用来增强药物的活性。分子对接揭示了残基Thr60,Thr80,Gly106和Ser189在维持药物-靶标相互作用方面起着关键作用,这与轮廓图一致。 MD模拟进一步表明,从对接衍生的每个构象的结合模式是稳定的,并且与从MD模拟整体提取的相应结构一致。这些结果可为设计更有效的PI提供有用的理论参考。

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