National Institute of Biological Sciences, Beijing , No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing, 102206, China.
J Chem Inf Model. 2015 Nov 23;55(11):2435-42. doi: 10.1021/acs.jcim.5b00540. Epub 2015 Nov 4.
The emergence of drug resistance of the BCR-ABL kinase inhibitor imatinib, especially toward the T315I gatekeeper mutation, poses a great challenge to targeted therapy in treating chronic myeloid leukemia (CML) patients. To discover novel inhibitors against drug-resistant CML bearing T315I mutation, we applied a physics-based hierarchical virtual screening approach to dock a large chemical library against ATP binding pockets of both wild-type (WT) and T315I mutant ABL kinases in a combinatorial fashion. This strategy automatically resulted in 87 compounds satisfying structural and energetic criteria of both WT and T315I mutant kinases. Among them, nine compounds, which share a common thiophene-based scaffold and adopt similar binding poses, were chosen for experimental testing and one of them was shown to have low micromolar inhibition activities against both WT and mutant ABL kinases. Structure-activity relationship analysis with a series of structural modifications based on 2-acylaminothiophene-3-carboxamide scaffold supports our predicted binding mode. Interestingly, the same chemical scaffold was also enriched in our previous virtual screening campaign against colchicine site of microtubules using the same computational protocol, which suggests our virtual screening strategy is capable of discovering small-molecule ligands targeting distinct protein binding sites without sharing any sequential and structural similarity. Furthermore, the multitarget inhibition activity of this class of compounds was assessed in cellular experiments. We expect that the 2-acylaminothiophene-3-carboxamide scaffold may serve as a promising starting point for developing multitarget inhibitors in cancer treatment by targeting both kinases and microtubules.
BCR-ABL 激酶抑制剂伊马替尼耐药的出现,特别是针对 T315I 守门员突变,对治疗慢性髓性白血病(CML)患者的靶向治疗构成了巨大挑战。为了发现针对携带 T315I 突变的耐药性 CML 的新型抑制剂,我们应用基于物理的分层虚拟筛选方法,以组合方式将大型化学库对接至野生型(WT)和 T315I 突变 ABL 激酶的 ATP 结合口袋。这种策略自动导致 87 种化合物符合 WT 和 T315I 突变激酶的结构和能量标准。其中,有 9 种化合物共享基于噻吩的共同支架,并采用相似的结合构象,被选择进行实验测试,其中一种对 WT 和突变 ABL 激酶均具有低微摩尔抑制活性。基于 2-酰氨基噻吩-3-甲酰胺支架的一系列结构修饰的构效关系分析支持我们的预测结合模式。有趣的是,在使用相同计算方案针对微管的秋水仙碱结合位点进行的先前虚拟筛选活动中,也富集了相同的化学支架,这表明我们的虚拟筛选策略能够发现针对不同蛋白质结合位点的小分子配体,而无需共享任何序列和结构相似性。此外,还在细胞实验中评估了此类化合物的多靶点抑制活性。我们期望 2-酰氨基噻吩-3-甲酰胺支架可作为开发针对激酶和微管的多靶点抑制剂治疗癌症的有前途的起点。