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通过化合物数据库虚拟筛选鉴定和表征新型钠/钾-ATP酶抑制剂

Identification and characterization of novel sodium/potassium-ATPase inhibitors by virtual screening of a compound database.

作者信息

Stanton David T, Ankenbauer Julie, Rothgeb David, Draper Matthew, Paula Stefan

机构信息

Miami Valley Innovation Center, Procter & Gamble, Cincinnati, OH 45252, USA.

出版信息

Bioorg Med Chem. 2007 Sep 15;15(18):6062-70. doi: 10.1016/j.bmc.2007.06.050. Epub 2007 Jun 29.

Abstract

The medicinal value of cardiac glycoside inhibitors for the treatment of congestive heart failure symptoms stems from their ability to specifically inhibit the ion transport activity of the transmembrane enzyme sodium/potassium-ATPase (Na/K-ATPase) in myocardial cells. In this study, we used the inhibitory potencies of 39 cardiac glycoside analogues for the development of a quantitative structure-activity relationship (QSAR) model for Na/K-ATPase inhibition. In conjunction with a substructure and similarity search, the QSAR model was used to select ten potential inhibitors from a commercial compound database. The inhibitory potencies of these compounds were measured and four were found to be more active than the commonly used inhibitor ouabain. The results of the bioassays were incorporated into a second QSAR model, whose physical interpretation suggested that the nature of substituents in positions 10, 12, and 17 at the cyclopentanoperhydrophenanthrene core of the inhibitors was critical for enzyme inhibition. All descriptors of the QSAR models were conformation-independent, making the search protocol a suitable tool for the rapid virtual screening of large compound databases for novel inhibitors.

摘要

强心苷抑制剂治疗充血性心力衰竭症状的药用价值源于其特异性抑制心肌细胞跨膜酶钠/钾 - ATP酶(Na/K - ATPase)离子转运活性的能力。在本研究中,我们利用39种强心苷类似物的抑制效力建立了用于抑制Na/K - ATPase的定量构效关系(QSAR)模型。结合子结构和相似性搜索,该QSAR模型用于从商业化合物数据库中筛选出10种潜在抑制剂。测定了这些化合物的抑制效力,发现其中4种比常用抑制剂哇巴因更具活性。生物测定结果被纳入第二个QSAR模型,其物理解释表明抑制剂环戊烷并多氢菲核心结构中10、12和17位取代基的性质对酶抑制至关重要。QSAR模型的所有描述符均与构象无关,这使得该搜索方案成为快速虚拟筛选大型化合物数据库以寻找新型抑制剂的合适工具。

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