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QSAR 最佳实践和分子对接的协调为发现新的 G-四链体配体提供了有效的虚拟筛选工具。

Harmonization of QSAR Best Practices and Molecular Docking Provides an Efficient Virtual Screening Tool for Discovering New G-Quadruplex Ligands.

机构信息

ARNA Laboratory, IECB, University of Bordeaux , F-33600 Pessac, France.

ARNA Laboratory, INSERM, U869, F-33000 Bordeaux, France.

出版信息

J Chem Inf Model. 2015 Oct 26;55(10):2094-110. doi: 10.1021/acs.jcim.5b00415. Epub 2015 Sep 18.

Abstract

Telomeres and telomerase are key players in tumorogenesis. Among the various strategies proposed for telomerase inhibition or telomere uncapping, the stabilization of telomeric G-quadruplex (G4) structures is a very promising one. Additionally, G4 stabilizing ligands also act over tumors mediated by the alternative elongation of telomeres. Accordingly, the discovery of novel compounds able to act on telomeres and/or inhibit the telomerase enzyme by stabilizing DNA telomeric G4 structures as well as the development of approaches efficiently prioritizing such compounds constitute active areas of research in computational medicinal chemistry and anticancer drug discovery. In this direction, we applied a virtual screening strategy based on the rigorous application of QSAR best practices and its harmonized integration with structure-based methods. More than 600,000 compounds from commercial databases were screened, the first 99 compounds were prioritized, and 21 commercially available and structurally diverse candidates were purchased and submitted to experimental assays. Such strategy proved to be highly efficient in the prioritization of G4 stabilizer hits, with a hit rate of 23.5%. The best G4 stabilizer hit found exhibited a shift in melting temperature from FRET assay of +7.3 °C at 5 μM, while three other candidates also exhibited a promising stabilizing profile. The two most promising candidates also exhibited a good telomerase inhibitory ability and a mild inhibition of HeLa cells growth. None of these candidates showed antiproliferative effects in normal fibroblasts. Finally, the proposed virtual screening strategy proved to be a practical and reliable tool for the discovery of novel G4 ligands which can be used as starting points of further optimization campaigns.

摘要

端粒和端粒酶是肿瘤发生的关键因素。在提出的各种抑制端粒酶或端粒去帽的策略中,稳定端粒 G-四链体(G4)结构是一种非常有前途的方法。此外,G4 稳定配体还可以作用于通过端粒的替代性延长介导的肿瘤。因此,发现能够通过稳定 DNA 端粒 G4 结构来作用于端粒和/或抑制端粒酶的新型化合物,以及开发有效优先考虑此类化合物的方法,是计算药物化学和抗癌药物发现的活跃研究领域。在这一方向上,我们应用了一种虚拟筛选策略,该策略基于 QSAR 最佳实践的严格应用及其与基于结构方法的协调整合。从商业数据库中筛选了超过 60 万个化合物,优先考虑了前 99 个化合物,并购买了 21 种商业上可用的、结构多样的候选化合物,并提交给实验测定。这种策略在 G4 稳定剂命中的优先级中证明是非常有效的,命中率为 23.5%。发现的最佳 G4 稳定剂命中物在 FRET 测定中表现出 7.3°C 的熔点变化,而另外三个候选物也表现出有希望的稳定特性。两个最有前途的候选物也表现出良好的端粒酶抑制能力和对 HeLa 细胞生长的轻度抑制。这些候选物在正常成纤维细胞中均无抗增殖作用。最后,所提出的虚拟筛选策略被证明是发现新型 G4 配体的实用且可靠的工具,可作为进一步优化的起点。

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