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潜在的人胆固醇酯酶抑制剂设计:受益于分子动力学模拟和药效团模型研究。

Potential human cholesterol esterase inhibitor design: benefits from the molecular dynamics simulations and pharmacophore modeling studies.

机构信息

Division of Applied Life Science_(BK21 Program), Systems and Synthetic Agrobiotech Center (SSAC) Gyeongsang National University (GNU), 501 Jinju-daero, Gazha-dong, Jinju 660-701, Republic of Korea.

出版信息

J Biomol Struct Dyn. 2012;29(5):921-36. doi: 10.1080/07391102.2012.10507419.

DOI:10.1080/07391102.2012.10507419
PMID:22292952
Abstract

Human pancreatic cholesterol esterase (hCEase) is one of the lipases found to involve in the digestion of large and broad spectrum of substrates including triglycerides, phospholipids, cholesteryl esters, etc. The presence of bile salts is found to be very important for the activation of hCEase. Molecular dynamic simulations were performed for the apoform and bile salt complexed form of hCEase using the co-ordinates of two bile salts from bovine CEase. The stability of the systems throughout the simulation time was checked and two representative structures from the highly populated regions were selected using cluster analysis. These two representative structures were used in pharmacophore model generation. The generated pharmacophore models were validated and used in database screening. The screened hits were refined for their drug-like properties based on Lipinski's rule of five and ADMET properties. The drug-like compounds were further refined by molecular docking simulation using GOLD program based on the GOLD fitness score, mode of binding, and molecular interactions with the active site amino acids. Finally, three hits of novel scaffolds were selected as potential leads to be used in novel and potent hCEase inhibitor design. The stability of binding modes and molecular interactions of these final hits were re-assured by molecular dynamics simulations.

摘要

人胰腺胆固醇酯酶(hCEase)是一种脂肪酶,被发现参与包括甘油三酯、磷脂、胆固醇酯等在内的多种大而广泛的底物的消化。胆汁盐的存在被发现对 hCEase 的激活非常重要。使用来自牛 CEase 的两种胆汁盐的坐标,对 apo 形式和胆汁盐络合形式的 hCEase 进行了分子动力学模拟。在整个模拟时间内检查了系统的稳定性,并使用聚类分析从高占据区域选择了两个代表性结构。使用这两个代表性结构生成药效团模型。生成的药效团模型经过验证,并用于数据库筛选。根据 Lipinski 的五规则和 ADMET 性质,对筛选出的命中物进行了药物样特性的细化。使用 GOLD 程序基于 GOLD 适应性得分、结合模式和与活性位点氨基酸的分子相互作用,通过分子对接模拟进一步细化了药物样化合物。最后,选择了三个具有新颖骨架的命中物作为潜在的先导化合物,用于新型强效 hCEase 抑制剂的设计。通过分子动力学模拟重新确认了这些最终命中物的结合模式和分子相互作用的稳定性。

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