Zhou Xiaoli, Yu Shanshan, Su Jing, Sun Liankun
College of Basic Medical Sciences, Jilin University, Changchun 130021, Jilin, China.
State Key Laboratory of MicrobialMetabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Int J Mol Sci. 2016 Mar 4;17(3):340. doi: 10.3390/ijms17030340.
Pyruvate dehydrogenase kinases (PDKs) are key enzymes in glucose metabolism, negatively regulating pyruvate dehyrogenase complex (PDC) activity through phosphorylation. Inhibiting PDKs could upregulate PDC activity and drive cells into more aerobic metabolism. Therefore, PDKs are potential targets for metabolism related diseases, such as cancers and diabetes. In this study, a series of computer-aided virtual screening techniques were utilized to discover potential inhibitors of PDKs. Structure-based screening using Libdock was carried out following by ADME (adsorption, distribution, metabolism, excretion) and toxicity prediction. Molecular docking was used to analyze the binding mechanism between these compounds and PDKs. Molecular dynamic simulation was utilized to confirm the stability of potential compound binding. From the computational results, two novel natural coumarins compounds (ZINC12296427 and ZINC12389251) from the ZINC database were found binding to PDKs with favorable interaction energy and predicted to be non-toxic. Our study provide valuable information of PDK-coumarins binding mechanisms in PDK inhibitor-based drug discovery.
丙酮酸脱氢酶激酶(PDKs)是葡萄糖代谢中的关键酶,通过磷酸化作用负向调节丙酮酸脱氢酶复合体(PDC)的活性。抑制PDKs可上调PDC的活性,并促使细胞进入更多的有氧代谢状态。因此,PDKs是癌症和糖尿病等代谢相关疾病的潜在靶点。在本研究中,一系列计算机辅助虚拟筛选技术被用于发现PDKs的潜在抑制剂。在进行ADME(吸收、分布、代谢、排泄)和毒性预测之后,使用Libdock进行基于结构的筛选。分子对接用于分析这些化合物与PDKs之间的结合机制。分子动力学模拟用于确认潜在化合物结合的稳定性。从计算结果中发现,来自ZINC数据库的两种新型天然香豆素化合物(ZINC12296427和ZINC12389251)以良好的相互作用能与PDKs结合,并且预测无毒。我们的研究为基于PDK抑制剂的药物研发中PDK-香豆素的结合机制提供了有价值的信息。