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首页> 外文期刊>Advances and Applications in Bioinformatics and Chemistry >Computational evaluation of natural compounds as potential inhibitors of human PEPCK-M: an alternative for lung cancer therapy
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Computational evaluation of natural compounds as potential inhibitors of human PEPCK-M: an alternative for lung cancer therapy

机译:天然化合物作为人类PEPCK-M潜在抑制剂的计算评估:肺癌治疗的替代方法

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Background: Lung cancer is the leading cause of cancer-related death worldwide. Among its subtypes, non-small cell lung cancer (NSCLC) is the most common. Recently, the mitochondrial isoform of the enzyme phosphoenolpyruvate carboxykinase (HsPEPCK-M) was identified as responsible for the metabolic adaptation in the NSCLC allowing tumor growth even under conditions of glucose deficiency. This adaptation is possible due to the role of HsPEPCK-M in gluconeogenesis, converting the oxaloacetate to phosphoenolpyruvate in the presence of GTP, which plays an important role in the energetic support of these tumors. In this context, it was shown that the inhibition or knockdown of this enzyme was able to induce apoptosis in NSCLC under low glucose conditions. Purpose: In this study, novel putative inhibitors were proposed for the human PEPCK-M (HsPEPCK-M) based on a computer-aided approach. Methods: Comparative modeling was used to generate 3D models for HsPEPCK-M. Subsequently, the set of natural compounds of the ZINC database was screened against HsPEPCK-M models using structure-based pharmacophore modeling and molecular docking approaches. The selected compounds were evaluated according to its chemical diversity and clustered based on chemical similarity. Results: The pharmacophore hypotheses, generated based on known PEPCK inhibitors, were able to select 7,124 candidate compounds. These compounds were submitted to molecular docking studies using three conformations of HsPEPCK-M generated by comparative modeling. The aim was to select compounds with high predicted binding affinity for at least one of the conformations of HsPEPCK-M. After molecular docking, 612 molecules were selected as potential inhibitors of HsPEPCK-M. These compounds were clustered according to their structural similarity. Chemical profiling and binding mode analyses of these compounds allowed the proposal of four promising compounds: ZINC01656421, ZINC895296, ZINC00895535 and ZINC02571340. Conclusion: These compounds may be considered as potential candidates for HsPEPCK-M inhibitors and may also be used as lead compounds for the development of novel HsPEPCK-M inhibitors.
机译:背景:肺癌是全球癌症相关死亡的主要原因。在其亚型中,非小细胞肺癌(NSCLC)是最常见的。最近,磷酸烯醇丙酮酸羧化激酶(HsPEPCK-M)的线粒体同工型被认为是导致NSCLC代谢适应的原因,即使在葡萄糖缺乏的情况下也可以使肿瘤生长。由于HsPEPCK-M在糖异生中的作用,在GTP存在下将草酰乙酸转化为磷酸烯醇丙酮酸,这种适应性是可能的,GTP在这些肿瘤的能量支持中起重要作用。在这种情况下,表明该酶的抑制或敲低能够在低葡萄糖条件下诱导NSCLC中的细胞凋亡。目的:在这项研究中,基于计算机辅助方法,为人类PEPCK-M(HsPEPCK-M)提出了新型推定抑制剂。方法:使用比较模型生成HsPEPCK-M的3D模型。随后,使用基于结构的药效团建模和分子对接方法,针对HsPEPCK-M模型筛选了ZINC数据库的一组天然化合物。根据所选化合物的化学多样性对其进行评估,并根据化学相似性进行聚类。结果:基于已知的PEPCK抑制剂产生的药效基团假说能够选择7,124种候选化合物。使用通过比较建模生成的三种构型的HsPEPCK-M,将这些化合物进行了分子对接研究。目的是选择对HsPEPCK-M的至少一种构象具有高预测结合亲和力的化合物。分子对接后,选择了612个分子作为HsPEPCK-M的潜在抑制剂。这些化合物根据其结构相似性聚类。这些化合物的化学谱分析和结合模式分析允许提出四种有前景的化合物:ZINC01656421,ZINC895296,ZINC00895535和ZINC02571340。结论:这些化合物可能被认为是HsPEPCK-M抑制剂的潜在候选物,也可以被用作开发新型HsPEPCK-M抑制剂的先导化合物。

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