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β-分泌酶抑制剂的计算机虚拟发现

In silico discovery of beta-secretase inhibitors.

作者信息

Huang Danzhi, Lüthi Urs, Kolb Peter, Cecchini Marco, Barberis Alcide, Caflisch Amedeo

机构信息

Department of Biochemistry, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland.

出版信息

J Am Chem Soc. 2006 Apr 26;128(16):5436-43. doi: 10.1021/ja0573108.

Abstract

Alzheimer's disease, the most common amyloid-associated disorder, accounts for the majority of the dementia diagnosed after the age of 60. The cleavage of the beta-amyloid precursor protein is initiated by beta-secretase (BACE-1), a membrane-bound aspartic protease, which has emerged as an important but difficult protein target. Here, an in silico screening approach consisting of fragment-based docking, ligand conformational search by a genetic algorithm, and evaluation of free energy of binding was used to identify low-molecular-weight inhibitors of BACE-1. More than 300,000 small molecules were docked and about 15,000 prioritized according to a linear interaction energy model with evaluation of solvation by continuum electrostatics. Eighty-eight compounds were tested in vitro, and 10 of them showed an IC(50) value lower than 100 microM in a BACE-1 enzymatic assay. Interestingly, the 10 active compounds shared a triazine scaffold. Moreover, four of them were active in an assay with mammalian cells (EC(50) < 20 microM), indicating that they are cell-permeable. Therefore, these triazine derivatives are very promising lead candidates for BACE-1 inhibition. The discoveries of this series and two other series of nonpeptidic BACE-1 inhibitors demonstrate the usefulness of our in silico high-throughput screening approach.

摘要

阿尔茨海默病是最常见的淀粉样蛋白相关疾病,占60岁以后诊断出的痴呆症的大多数。β-淀粉样前体蛋白的切割由β-分泌酶(BACE-1)启动,BACE-1是一种膜结合天冬氨酸蛋白酶,已成为一个重要但难以攻克的蛋白质靶点。在此,采用了一种计算机辅助筛选方法,该方法包括基于片段的对接、通过遗传算法进行配体构象搜索以及结合自由能评估,以鉴定BACE-1的低分子量抑制剂。对接了超过30万个小分子,并根据线性相互作用能模型并通过连续介质静电学评估溶剂化作用对约15000个小分子进行了优先排序。对88种化合物进行了体外测试,其中10种在BACE-1酶活性测定中显示IC(50)值低于100微摩尔。有趣的是,这10种活性化合物都有一个三嗪支架。此外,其中4种在哺乳动物细胞试验中具有活性(EC(50) < 20微摩尔),表明它们具有细胞通透性。因此,这些三嗪衍生物是非常有前景的BACE-1抑制先导候选物。该系列以及另外两个非肽类BACE-1抑制剂系列的发现证明了我们的计算机辅助高通量筛选方法的有效性。

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