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基于结构的虚拟筛选和生物测定衍生的新型非肽β-分泌酶抑制剂

Novel non-peptide beta-secretase inhibitors derived from structure-based virtual screening and bioassay.

作者信息

Xu Weijun, Chen Gang, Liew Oi Wah, Zuo Zhili, Jiang Hualiang, Zhu Weiliang

机构信息

School of Chemical and Life Sciences, Singapore Polytechnic, Singapore 139651.

出版信息

Bioorg Med Chem Lett. 2009 Jun 15;19(12):3188-92. doi: 10.1016/j.bmcl.2009.04.113. Epub 2009 May 3.

DOI:10.1016/j.bmcl.2009.04.113
PMID:19447035
Abstract

This Letter describes an efficient approach by integrating virtual screening with bioassay technology for finding small organic inhibitors targeting beta-secretase (BACE-1). Fifteen hits with inhibitory potencies ranging from 2.8 to 118 microM (IC(50)) against beta-secretase were successfully identified. Compound 12 with IC(50) of 2.8 microM is the most potent hit against BACE-1. Docking simulation from gold 3.0 suggests putative binding mode of 12 in BACE-1 and potential key pharmacophore groups for further designing of non-peptide compounds as more powerful inhibitors against BACE-1.

摘要

本信函描述了一种将虚拟筛选与生物测定技术相结合的有效方法,用于寻找靶向β-分泌酶(BACE-1)的有机小分子抑制剂。成功鉴定出15种对β-分泌酶具有抑制活性的化合物,其抑制效力范围为2.8至118微摩尔(IC50)。IC50为2.8微摩尔的化合物12是对BACE-1抑制活性最强的化合物。Gold 3.0的对接模拟表明化合物12在BACE-1中的假定结合模式以及潜在的关键药效基团,有助于进一步设计非肽类化合物,以作为更有效的BACE-1抑制剂。

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