Integrated In Silico-In Vitro Discovery of Lung Cancer-related Tumor Pyruvate Kinase M2 (PKM2) Inhibitors.

Q4 Engineering
Xiangyun Ye, Yinjia Sun, Yunhua Xu, Zhiwei Chen, Shun Lu
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引用次数: 15

Abstract

Background: The tumor pyruvate kinase M2 (PKM2) is involved in the glycolytic pathway of lung cancer and targeting this kinase has been observed to radiosensitize non-small cell lung cancer (NSCLC).

Objective: An integration of in silico virtual screening and in vitro kinase assay was described to discover novel PKM2 inhibitors from a candidate library containing >400,000 commercially available compounds.

Method: The method is a stepwise screening scheme that first used empirical strategies to fast exclude those undruggable compounds in the library and then employed molecular docking and molecular dynamics (MD)-based rescoring to identify few potential hits. Subsequently, the computational findings were substantiated using a standard kinase assay protocol.

Results: Four compounds, i.e. nalidixic acid, indoprofen, hematoxylin and polydatin, were identified to inhibit PKM2 kinase at micromolar level, with IC50 values of 53, 21, 340 and 128 .M, respectively.

Conclusion: Structural analysis revealed that hydrogen bonds, salt bridges, π-π stacking and hydrophobic forces co-confer high stability and strong specificity to PKM2-inhibitor binding.

肺癌相关肿瘤丙酮酸激酶 M2 (PKM2) 抑制剂的硅-体外综合发现。
背景:肿瘤丙酮酸激酶M2(PKM2)参与了肺癌的糖酵解通路,靶向该激酶可使非小细胞肺癌(NSCLC)放射增敏:目的:描述了一种整合了硅学虚拟筛选和体外激酶测定的方法,以从包含超过40万种市售化合物的候选化合物库中发现新型PKM2抑制剂:该方法是一种分步筛选方案,首先使用经验策略快速排除化合物库中不可药用的化合物,然后使用分子对接和基于分子动力学(MD)的重构来识别少数潜在的命中化合物。随后,利用标准激酶检测方案证实了计算结果:结果:四个化合物,即萘啶酸、吲哚布洛芬、苏木精和多靛红,在微摩尔水平上抑制了 PKM2 激酶,其 IC50 值分别为 53、21、340 和 128 .M:结论:结构分析表明,氢键、盐桥、π-π堆积和疏水作用力共同赋予了 PKM2 抑制剂结合的高稳定性和强特异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi)
Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi) Engineering-Electrical and Electronic Engineering
CiteScore
0.10
自引率
0.00%
发文量
6
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