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基于药效团的虚拟筛选发现强效可溶性环氧化物水解酶(sEH)抑制剂

Discovery of Potent Soluble Epoxide Hydrolase (sEH) Inhibitors by Pharmacophore-Based Virtual Screening.

作者信息

Waltenberger Birgit, Garscha Ulrike, Temml Veronika, Liers Josephine, Werz Oliver, Schuster Daniela, Stuppner Hermann

机构信息

Institute of Pharmacy/Pharmacognosy and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck , Innrain 80-82, A-6020 Innsbruck, Austria.

Chair of Pharmaceutical/Medicinal Chemistry, Institute of Pharmacy, University of Jena , Philosophenweg 14, D-07743 Jena, Germany.

出版信息

J Chem Inf Model. 2016 Apr 25;56(4):747-62. doi: 10.1021/acs.jcim.5b00592. Epub 2016 Apr 4.

Abstract

There is an increasing interest in the development of soluble epoxide hydrolase (sEH) inhibitors, which block the degradation of endogenous anti-inflammatory epoxyeicosatrienoic acids. Within this study, a set of pharmacophore models for sEH inhibitors was developed. The Specs database was virtually screened and a cell-free sEH activity assay was used for the biological investigation of virtual hits. In total, out of 48 tested compounds, 19 were sEH inhibitors with IC50 < 10 μM, representing a prospective true positive hit rate of 40%. Six of these compounds displayed IC50 values in the low nanomolar range. The most potent compound 21, a urea derivative, inhibited sEH with an IC50 = 4.2 nM. The applied approach also enabled the identification of diverse chemical scaffolds, e.g. the pyrimidinone derivative 29 (IC50 = 277 nM). The generated pharmacophore model set therefore represents a valuable tool for the selection of compounds for biological testing.

摘要

人们对可溶性环氧化物水解酶(sEH)抑制剂的开发越来越感兴趣,这种抑制剂可阻断内源性抗炎环氧二十碳三烯酸的降解。在本研究中,开发了一组sEH抑制剂的药效团模型。对Specs数据库进行虚拟筛选,并使用无细胞sEH活性测定法对虚拟命中物进行生物学研究。总共,在48种测试化合物中,有19种是IC50 < 10 μM的sEH抑制剂,预期真阳性命中率为40%。其中六种化合物的IC50值在低纳摩尔范围内。最有效的化合物21是一种尿素衍生物,以IC50 = 4.2 nM的浓度抑制sEH。所应用的方法还能够鉴定出多种化学骨架,例如嘧啶酮衍生物29(IC50 = 277 nM)。因此,生成的药效团模型集是选择用于生物学测试的化合物的有价值工具。

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