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单取代和双取代的1H-吡唑并[3,4]嘧啶及9H-嘌呤作为人DNA拓扑异构酶IIα催化抑制剂的发现。

Discovery of mono- and disubstituted 1H-pyrazolo[3,4]pyrimidines and 9H-purines as catalytic inhibitors of human DNA topoisomerase IIα.

作者信息

Pogorelčnik Barbara, Brvar Matjaž, Žegura Bojana, Filipič Metka, Solmajer Tom, Perdih Andrej

机构信息

National Institute of Chemistry, Hajdrihova 19, 1001 Ljubljana (Slovenia).

出版信息

ChemMedChem. 2015 Feb;10(2):345-59. doi: 10.1002/cmdc.201402459. Epub 2014 Dec 17.

Abstract

Human DNA topoisomerase IIα (htIIα) is a validated target for the development of anticancer agents. Based on structural data regarding the binding mode of AMP-PNP (5'-adenylyl-β,γ-imidodiphosphate) to htIIα, we designed a two-stage virtual screening campaign that combines structure-based pharmacophores and molecular docking. In the first stage, we identified several monosubstituted 9H-purine compounds and a novel class of 1H-pyrazolo[3,4]pyrimidines as inhibitors of htIIα. In the second stage, disubstituted analogues with improved cellular activities were discovered. Compounds from both classes were shown to inhibit htIIα-mediated DNA decatenation, and surface plasmon resonance (SPR) experiments confirmed binding of these two compounds on the htIIα ATPase domain. Proposed complexes and interaction patterns between both compounds and htIIα were further analyzed in molecular dynamics simulations. Two compounds identified in the second stage showed promising anticancer activities in hepatocellular carcinoma (HepG2) and breast cancer (MCF-7) cell lines. The discovered compounds are suitable starting points for further hit-to-lead development in anticancer drug discovery.

摘要

人类DNA拓扑异构酶IIα(htIIα)是抗癌药物开发的一个经过验证的靶点。基于有关AMP-PNP(5'-腺苷酰-β,γ-亚氨基二磷酸)与htIIα结合模式的结构数据,我们设计了一个两阶段的虚拟筛选活动,该活动结合了基于结构的药效团和分子对接。在第一阶段,我们鉴定出几种单取代的9H-嘌呤化合物和一类新型的1H-吡唑并[3,4]嘧啶作为htIIα的抑制剂。在第二阶段,发现了具有改善细胞活性的双取代类似物。这两类化合物均显示出抑制htIIα介导的DNA解连环作用,表面等离子体共振(SPR)实验证实了这两种化合物与htIIα ATP酶结构域的结合。在分子动力学模拟中进一步分析了这两种化合物与htIIα之间的拟复合物和相互作用模式。在第二阶段鉴定出的两种化合物在肝癌(HepG2)和乳腺癌(MCF-7)细胞系中显示出有前景的抗癌活性。所发现的化合物是抗癌药物发现中进一步从先导化合物优化为候选药物的合适起始点。

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