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结合基于结构的药效团建模、虚拟筛选和计算机辅助药物代谢动力学/药物毒性分析,以发现具有抗肿瘤活性的新型基于四氢喹啉的丙酮酸激酶同工酶M2激活剂。

Combining structure-based pharmacophore modeling, virtual screening, and in silico ADMET analysis to discover novel tetrahydro-quinoline based pyruvate kinase isozyme M2 activators with antitumor activity.

作者信息

Chen Can, Wang Ting, Wu Fengbo, Huang Wei, He Gu, Ouyang Liang, Xiang Mingli, Peng Cheng, Jiang Qinglin

机构信息

State Key Laboratory of Biotherapy and Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, People's Republic of China ; College of Pharmacy and the First Affiliated Hospital, Chengdu Medical College, Chengdu, People's Republic of China.

State Key Laboratory of Biotherapy and Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, People's Republic of China ; Department of Cardiology, General Hospital of Chengdu Military Command, Chengdu, People's Republic of China.

出版信息

Drug Des Devel Ther. 2014 Sep 2;8:1195-210. doi: 10.2147/DDDT.S62921. eCollection 2014.

Abstract

Compared with normal differentiated cells, cancer cells upregulate the expression of pyruvate kinase isozyme M2 (PKM2) to support glycolytic intermediates for anabolic processes, including the synthesis of nucleic acids, amino acids, and lipids. In this study, a combination of the structure-based pharmacophore modeling and a hybrid protocol of virtual screening methods comprised of pharmacophore model-based virtual screening, docking-based virtual screening, and in silico ADMET (absorption, distribution, metabolism, excretion and toxicity) analysis were used to retrieve novel PKM2 activators from commercially available chemical databases. Tetrahydroquinoline derivatives were identified as potential scaffolds of PKM2 activators. Thus, the hybrid virtual screening approach was applied to screen the focused tetrahydroquinoline derivatives embedded in the ZINC database. Six hit compounds were selected from the final hits and experimental studies were then performed. Compound 8 displayed a potent inhibitory effect on human lung cancer cells. Following treatment with Compound 8, cell viability, apoptosis, and reactive oxygen species (ROS) production were examined in A549 cells. Finally, we evaluated the effects of Compound 8 on mice xenograft tumor models in vivo. These results may provide important information for further research on novel PKM2 activators as antitumor agents.

摘要

与正常分化细胞相比,癌细胞上调丙酮酸激酶同工酶M2(PKM2)的表达,以支持用于合成代谢过程的糖酵解中间体,包括核酸、氨基酸和脂质的合成。在本研究中,基于结构的药效团建模与由基于药效团模型的虚拟筛选、基于对接的虚拟筛选和计算机辅助ADMET(吸收、分布、代谢、排泄和毒性)分析组成的虚拟筛选方法混合协议相结合,用于从市售化学数据库中检索新型PKM2激活剂。四氢喹啉衍生物被确定为PKM2激活剂的潜在骨架。因此,采用混合虚拟筛选方法对ZINC数据库中嵌入的聚焦四氢喹啉衍生物进行筛选。从最终命中物中选择了6种命中化合物,然后进行实验研究。化合物8对人肺癌细胞显示出强大的抑制作用。用化合物8处理后,在A549细胞中检测细胞活力、凋亡和活性氧(ROS)产生。最后,我们在体内评估了化合物8对小鼠异种移植肿瘤模型的影响。这些结果可能为进一步研究新型PKM2激活剂作为抗肿瘤药物提供重要信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d59/4159224/4cfd79ba908b/dddt-8-1195Fig1.jpg

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