Feng Taotao, Wang Hai, Zhang Xiaojin, Sun Haopeng, You Qidong
Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China.
Med Chem. 2014 Jun;10(4):426-40. doi: 10.2174/15734064113096660068.
Protein lysine methyltransferase G9a, which catalyzes methylation of lysine 9 of histone H3 (H3K9) and lysine 373 (K373) of p53, is overexpressed in human cancers. This suggests that small molecular inhibitors of G9a might be attractive antitumor agents. Herein we report our efforts on the design of novel G9a inhibitor based on the 3D quantitative structure-activity relationship (3D-QSAR) analysis of a series of 2,4-diamino-7-aminoalkoxyquinazolineas G9a inhibitors. The 3D-QSAR model was generated from 47 compounds using docking based molecular alignment. The best predictions were obtained with CoMFA standard model (q2 =0.700, r2 = 0.952) and CoMSIA model combined with steric, electrostatic, hydrophobic, hydrogen bond donor and acceptor fields (q2 = 0.724, r2 =0.960). The structural requirements for substituted 2,4-diamino-7-aminoalkoxyquinazoline for G9a inhibitory activity can be obtained by analysing the COMSIA plots. Based on the information, six novel follow-up analogs were designed.
蛋白质赖氨酸甲基转移酶G9a可催化组蛋白H3的赖氨酸9(H3K9)和p53的赖氨酸373(K373)的甲基化,在人类癌症中呈过表达。这表明G9a的小分子抑制剂可能是有吸引力的抗肿瘤药物。在此,我们报告了基于一系列2,4-二氨基-7-氨基烷氧基喹唑啉类G9a抑制剂的三维定量构效关系(3D-QSAR)分析来设计新型G9a抑制剂的工作。使用基于对接的分子比对从47种化合物生成3D-QSAR模型。使用CoMFA标准模型(交叉验证系数q2 = 0.700,决定系数r2 = 0.952)和结合了空间、静电、疏水、氢键供体和受体场的CoMSIA模型(q2 = 0.724,r2 = 0.960)获得了最佳预测结果。通过分析CoMSIA图可得出取代的2,4-二氨基-7-氨基烷氧基喹唑啉对G9a抑制活性的结构要求。基于该信息,设计了六种新型后续类似物。