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基于动态结构的药效团模型开发:组蛋白去乙酰化酶8(HDAC8)抑制剂发现中的一项新的有效补充。

Dynamic structure-based pharmacophore model development: a new and effective addition in the histone deacetylase 8 (HDAC8) inhibitor discovery.

作者信息

Thangapandian Sundarapandian, John Shalini, Lee Yuno, Kim Songmi, Lee Keun Woo

机构信息

Division of Applied Life Science (BK21 Program), Systems and Synthetic Agrobiotech Center (SSAC), Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Research Institute of Natural Science (RINS), Gyeongsang National University (GNU), 501 Jinju-daero, Gazwa-dong, Jinju 660-701, Korea.

出版信息

Int J Mol Sci. 2011;12(12):9440-62. doi: 10.3390/ijms12129440. Epub 2011 Dec 19.

Abstract

Histone deacetylase 8 (HDAC8) is an enzyme involved in deacetylating the amino groups of terminal lysine residues, thereby repressing the transcription of various genes including tumor suppressor gene. The over expression of HDAC8 was observed in many cancers and thus inhibition of this enzyme has emerged as an efficient cancer therapeutic strategy. In an effort to facilitate the future discovery of HDAC8 inhibitors, we developed two pharmacophore models containing six and five pharmacophoric features, respectively, using the representative structures from two molecular dynamic (MD) simulations performed in Gromacs 4.0.5 package. Various analyses of trajectories obtained from MD simulations have displayed the changes upon inhibitor binding. Thus utilization of the dynamically-responded protein structures in pharmacophore development has the added advantage of considering the conformational flexibility of protein. The MD trajectories were clustered based on single-linkage method and representative structures were taken to be used in the pharmacophore model development. Active site complimenting structure-based pharmacophore models were developed using Discovery Studio 2.5 program and validated using a dataset of known HDAC8 inhibitors. Virtual screening of chemical database coupled with drug-like filter has identified drug-like hit compounds that match the pharmacophore models. Molecular docking of these hits reduced the false positives and identified two potential compounds to be used in future HDAC8 inhibitor design.

摘要

组蛋白去乙酰化酶8(HDAC8)是一种参与使末端赖氨酸残基的氨基去乙酰化的酶,从而抑制包括肿瘤抑制基因在内的各种基因的转录。在许多癌症中都观察到HDAC8的过表达,因此抑制这种酶已成为一种有效的癌症治疗策略。为了促进未来对HDAC8抑制剂的发现,我们使用在Gromacs 4.0.5软件包中进行的两个分子动力学(MD)模拟的代表性结构,分别开发了两个具有六个和五个药效团特征的药效团模型。从MD模拟获得的轨迹的各种分析显示了抑制剂结合后的变化。因此,在药效团开发中利用动态响应的蛋白质结构具有考虑蛋白质构象灵活性的额外优势。基于单链法对MD轨迹进行聚类,并采用代表性结构用于药效团模型开发。使用Discovery Studio 2.5程序开发基于活性位点互补结构的药效团模型,并使用已知HDAC8抑制剂的数据集进行验证。结合类药物筛选对化学数据库进行虚拟筛选,已鉴定出与药效团模型匹配的类药物命中化合物。这些命中化合物的分子对接减少了假阳性,并鉴定出两种潜在化合物用于未来的HDAC8抑制剂设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4235/3257139/cc052cf8b12b/ijms-12-09440f1.jpg

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