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基于药效团的虚拟筛选鉴定 20S 蛋白酶体β5 亚基抑制剂

Pharmacophore-based virtual screening for identifying β5 subunit inhibitor of 20S proteasome.

机构信息

Faculty of Pharmacy, Halu Oleo University, Kendari, 93231, Indonesia.

Faculty of Pharmacy, Halu Oleo University, Kendari, 93231, Indonesia.

出版信息

Comput Biol Chem. 2018 Dec;77:64-71. doi: 10.1016/j.compbiolchem.2018.08.009. Epub 2018 Aug 28.

DOI:10.1016/j.compbiolchem.2018.08.009
PMID:30243108
Abstract

Proteasomal system plays an important role in maintaining cell homeostatis. Overexpression of proteasomes leads to several major diseases, such as cancer and autoimmune disorder. The β5 subunit of proteasome is a crucial active site in proteolysis, and targeting proteasome β5 subunit is essential for proteasome inhibition. In the present study, a pharmacophore-based virtual screening and molecular docking were employed to identify ligands as inhibitors of β5 subunit of proteasome. The pharmacophore features were built with one hydrogen bond donor, two hydrogen bond acceptors, and one hydrophobic feature using native ligand of proteasome (HU10), which was then used to screen ZINC database using ZINCPharmer. The retrieved virtual hits were subjected to molecular docking analysis using iDock. The best six hits were subjected to molecular dynamics (MD) simulation and each complex was stable during 40 ns MD simulation as indicated by root-mean-square-deviation (RMSD) and root-mean-square-fluctuation (RMSF) values. The current study identifies 5 best hits having better binding potentials than HU10 as predicted by molecular mechanics Poisson-Boltzmann Surface Area (MM-PBSA) method, i.e. Lig1540/ZINC33356240, Lig1546/ZINC33356235, Lig1522/ZINC20854878, Lig980/ZINC12391945, and Lig1119/ZINC19865241, which can be used in the development of new proteasome inhibitors.

摘要

蛋白酶体系统在维持细胞内稳态方面发挥着重要作用。蛋白酶体的过度表达会导致多种主要疾病,如癌症和自身免疫性疾病。蛋白酶体的β5 亚基是蛋白酶体水解的关键活性位点,靶向蛋白酶体β5 亚基对于蛋白酶体抑制至关重要。在本研究中,我们采用基于药效团的虚拟筛选和分子对接技术,以鉴定蛋白酶体β5 亚基抑制剂的配体。药效团特征由一个氢键供体、两个氢键受体和一个疏水性特征构建,使用蛋白酶体的天然配体(HU10),然后使用 ZINCPharmer 对 ZINC 数据库进行筛选。检索到的虚拟命中物使用 iDock 进行分子对接分析。对最好的 6 个命中物进行分子动力学(MD)模拟,每个复合物在 40ns MD 模拟过程中都是稳定的,这可以从均方根偏差(RMSD)和均方根波动(RMSF)值中看出。本研究确定了 5 个具有比 HU10 更好的结合潜力的最佳命中物,这是通过分子力学泊松-玻尔兹曼表面面积(MM-PBSA)方法预测的,即 Lig1540/ZINC33356240、Lig1546/ZINC33356235、Lig1522/ZINC20854878、Lig980/ZINC12391945 和 Lig1119/ZINC19865241,它们可用于开发新型蛋白酶体抑制剂。

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