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采用反向筛选方法鉴定双嘧达莫的潜在抗癌靶点。

Reverse screening approach to identify potential anti-cancer targets of dipyridamole.

作者信息

Ge Shu-Min, Zhan Dong-Ling, Zhang Shu-Hua, Song Li-Qiang, Han Wei-Wei

机构信息

School of Life Science and Technology, Changchun University of Science and Technology Changchun 130022, China.

College of Food Science and Engineering, Jilin Agricultural University Changchun 130118, China.

出版信息

Am J Transl Res. 2016 Dec 15;8(12):5187-5198. eCollection 2016.

Abstract

Dipyridamole (DIP) inhibits thrombus formation when given chronically, and causes vasodilation over a short time. To date, DIP can increase the anticancer drugs (5-fluorouracil, methotrexate, piperidine, vincristine) concentration in cancer cells and hence enhance the efficacy of treatment cancer. The inhibition of DIP may result in increased 5-fluorouracil efficacy and diminish the drug side effects. But the actual molecular targets remain unknown. In this study, reverse protein-ligands docking, and quantum mechanics were used to search for the potential molecular targets of DIP. The quantum mechanics calculation was performed by using Gaussian 03 program package. Reverse pharmacophore mapping was used to search for potential molecular target candidates for a given small molecule. The docking study was used for exploring the potential anti-cancer targets of dipyridamole. The two predicted binders with the statistically significant prediction are dihydropyrimidine dehydrogenase (DPD) (PDB Id: 1GTE) and human spindle checkpoint kinase Bub1 (PDB Id: 3E7E). Structure analysis suggests that electrostatic interaction and hydrogen bonding play an important role in their binding process. The strong functional linkage of DIP and 5FU supports our prediction. In conclusion, these results generate a tractable set of anticancer proteins. The exploration of polypharmacology will provide us new opportunities in treating systematic diseases, such as the cancers. The results would generate a tractable set of anticancer target proteins for future experimental validations.

摘要

双嘧达莫(DIP)长期给药时可抑制血栓形成,并在短时间内引起血管舒张。迄今为止,DIP可提高癌细胞中抗癌药物(5-氟尿嘧啶、甲氨蝶呤、哌啶、长春新碱)的浓度,从而增强癌症治疗效果。DIP的抑制作用可能会提高5-氟尿嘧啶的疗效并减少药物副作用。但其实际分子靶点尚不清楚。在本研究中,利用反向蛋白质-配体对接和量子力学来寻找DIP的潜在分子靶点。量子力学计算使用高斯03程序包进行。反向药效团映射用于为给定的小分子寻找潜在的分子靶点候选物。对接研究用于探索双嘧达莫的潜在抗癌靶点。两个具有统计学显著预测结果的预测结合物是二氢嘧啶脱氢酶(DPD)(PDB编号:1GTE)和人类纺锤体检查点激酶Bub1(PDB编号:3E7E)。结构分析表明,静电相互作用和氢键在它们的结合过程中起重要作用。DIP和5FU之间的强功能联系支持了我们的预测。总之,这些结果产生了一组易于处理的抗癌蛋白。多药理学的探索将为我们治疗系统性疾病(如癌症)提供新的机会。这些结果将产生一组易于处理的抗癌靶蛋白,以供未来进行实验验证。

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