Discovery of novel inhibitors of Aurora kinases with indazole scaffold: In silico fragment-based and knowledge-based drug design
作者:Chun-Feng Chang、Wen-Hsing Lin、Yi-Yu Ke、Yih-Shyan Lin、Wen-Chieh Wang、Chun-Hwa Chen、Po-Chu Kuo、John T.A. Hsu、Biing-Jiun Uang、Hsing-Pang Hsieh
DOI:10.1016/j.ejmech.2016.08.026
日期:2016.11
Aurora kinases have emerged as important anticancer targets so that there are several inhibitors have advanced into clinical study. Herein, we identified novel indazole derivatives as potent Aurora kinases inhibitors by utilizing in silico fragment-based approach and knowledge-based drug design. After intensive hit-to-lead optimization, compounds 17 (dual Aurora A and B), 21 (Aurora B selective) and
Aurora激酶已成为重要的抗癌靶标,因此有几种抑制剂已进入临床研究。在本文中,我们通过利用基于计算机片段的方法和基于知识的药物设计,将新型吲唑衍生物鉴定为有效的Aurora激酶抑制剂。经过深入的铅-铅优化后,化合物17(双Aurora A和B),21(Aurora B选择性)和30(Aurora A选择性)具有吲哚特权的骨架,具有不同的取代基,可提供亚型激酶选择性。计算模型有助于理解同工型选择性可能是针对Aurora激酶结合口袋中的特定残基,尤其是靶向残基Arg220,Thr217或Glu177。