Chang Hsu Yung, Ke Yi-Yu, Shiao Hui-Yi, Lee Chieh-Chien, Lin Wen-Hsing, Chen Chun-Hwa, Yen Kuei-Jung, Hsu John T-A, Chang Chungming, Hsieh Hsing-Pang
Institute of Biotechnology & Pharmaceutical Research, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli County 350, Taiwan (ROC).
ChemMedChem. 2014 May;9(5):953-61. doi: 10.1002/cmdc.201300571. Epub 2014 Mar 24.
Computer-guided drug design is a powerful tool for drug discovery. Herein we disclose the use of this approach for the discovery of dual FMS-like receptor tyrosine kinase-3 (FLT3)-Aurora A inhibitors against cancer. An Aurora hit compound was selected as a starting point, from which 288 virtual molecules were screened. Subsequently, some of these were synthesized and evaluated for their capacity to inhibit FLT3 and Aurora kinase A. To further enhance FLT3 inhibition, structure-activity relationship studies of the lead compound were conducted through a simplification strategy and bioisosteric replacement, followed by the use of computer-guided drug design to prioritize molecules bearing a variety of different terminal groups in terms of favorable binding energy. Selected compounds were then synthesized, and their bioactivity was evaluated. Of these, one novel inhibitor was found to exhibit excellent inhibition of FLT3 and Aurora kinase A and exert a dramatic antiproliferative effect on MOLM-13 and MV4-11 cells, with an IC50 value of 7 nM. Accordingly, it is considered a highly promising candidate for further development.
计算机辅助药物设计是药物研发的有力工具。在此,我们揭示了这种方法在发现针对癌症的双重FMS样受体酪氨酸激酶-3(FLT3)-极光激酶A抑制剂方面的应用。选择一种极光激酶活性命中化合物作为起点,从中筛选了288个虚拟分子。随后,合成了其中一些分子,并评估了它们抑制FLT3和极光激酶A的能力。为进一步增强对FLT3的抑制作用,通过简化策略和生物电子等排体替换对先导化合物进行了构效关系研究,随后利用计算机辅助药物设计根据有利的结合能对带有各种不同末端基团的分子进行优先级排序。然后合成了选定的化合物,并评估了它们的生物活性。其中,发现一种新型抑制剂对FLT3和极光激酶A表现出优异的抑制作用,并对MOLM-13和MV4-11细胞产生显著的抗增殖作用,IC50值为7 nM。因此,它被认为是进一步开发的极具潜力的候选药物。