Yu Jun-Lan, Chen Tian-Tian, Zhou Chen, Lian Fu-Lin, Tang Xu-Long, Wen Yi, Shen Jing-Kang, Xu Ye-Chun, Xiong Bing, Zhang Nai-Xia
Department of Analytical Chemistry, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; China & University of Chinese Academy of Sciences, Beijing 100049, China.
CAS Key Laboratory of Receptor Research, Drug Discovery and Design Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Acta Pharmacol Sin. 2016 Jul;37(7):984-93. doi: 10.1038/aps.2016.19. Epub 2016 May 30.
Fragment-based lead discovery (FBLD) is a complementary approach in drug research and development. In this study, we established an NMR-based FBLD platform that was used to screen novel scaffolds targeting human bromodomain of BRD4, and investigated the binding interactions between hit compounds and the target protein.
1D NMR techniques were primarily used to generate the fragment library and to screen compounds. The inhibitory activity of hits on the first bromodomain of BRD4 [BRD4(I)] was examined using fluorescence anisotropy binding assay. 2D NMR and X-ray crystallography were applied to characterize the binding interactions between hit compounds and the target protein.
An NMR-based fragment library containing 539 compounds was established, which were clustered into 56 groups (8-10 compounds in each group). Eight hits with new scaffolds were found to inhibit BRD4(I). Four out of the 8 hits (compounds 1, 2, 8 and 9) had IC50 values of 100-260 μmol/L, demonstrating their potential for further BRD4-targeted hit-to-lead optimization. Analysis of the binding interactions revealed that compounds 1 and 2 shared a common quinazolin core structure and bound to BRD4(I) in a non-acetylated lysine mimetic mode.
An NMR-based platform for FBLD was established and used in discovery of BRD4-targeted compounds. Four potential hit-to-lead optimization candidates have been found, two of them bound to BRD4(I) in a non-acetylated lysine mimetic mode, being selective BRD4(I) inhibitors.
基于片段的先导化合物发现(FBLD)是药物研发中的一种补充方法。在本研究中,我们建立了一个基于核磁共振(NMR)的FBLD平台,用于筛选靶向BRD4人溴结构域的新型骨架,并研究命中化合物与靶蛋白之间的结合相互作用。
一维NMR技术主要用于生成片段库和筛选化合物。使用荧光偏振结合试验检测命中化合物对BRD4第一个溴结构域[BRD4(I)]的抑制活性。二维NMR和X射线晶体学用于表征命中化合物与靶蛋白之间的结合相互作用。
建立了一个包含539种化合物的基于NMR的片段库,这些化合物被聚类为56组(每组8-10种化合物)。发现8种具有新骨架的命中化合物可抑制BRD4(I)。8种命中化合物中的4种(化合物1、2、8和9)的IC50值为100-260μmol/L,表明它们具有进一步进行BRD4靶向的命中化合物到先导化合物优化的潜力。结合相互作用分析表明,化合物1和2具有共同的喹唑啉核心结构,并以非乙酰化赖氨酸模拟模式与BRD4(I)结合。
建立了一个基于NMR的FBLD平台,并用于发现靶向BRD4的化合物。发现了4个潜在的命中化合物到先导化合物优化候选物,其中2个以非乙酰化赖氨酸模拟模式与BRD4(I)结合,为选择性BRD4(I)抑制剂。