首页> 美国卫生研究院文献>International Journal of Molecular Sciences >Combined Virtual and Experimental Screening for CK1 Inhibitors Identifies a Modulator of p53 and Reveals Important Aspects of in Silico Screening Performance
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Combined Virtual and Experimental Screening for CK1 Inhibitors Identifies a Modulator of p53 and Reveals Important Aspects of in Silico Screening Performance

机译:CK1抑制剂的虚拟和实验组合筛选确定了p53的调节剂并揭示了计算机筛选性能的重要方面

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摘要

A compound collection of pronounced structural diversity was comprehensively screened for inhibitors of the DNA damage-related kinase CK1. The collection was evaluated in vitro. A potent and selective CK1 inhibitor was discovered and its capacity to modulate the endogenous levels of the CK1-regulated tumor suppressor p53 was demonstrated in cancer cell lines. Administration of 10 μM of the compound resulted in significant increase of p53 levels, reaching almost 2-fold in hepatocellular carcinoma cells. In parallel to experimental screening, two representative and orthogonal in silico screening methodologies were implemented for enabling the retrospective assessment of virtual screening performance on a case-specific basis. Results showed that both techniques performed at an acceptable and fairly comparable level, with a slight advantage of the structure-based over the ligand-based approach. However, both approaches demonstrated notable sensitivity upon parameters such as screening template choice and treatment of redundancy in the enumerated compound collection. An effort to combine insight derived by sequential implementation of the two methods afforded poor further improvement of screening performance. Overall, the presented assessment highlights the relation between improper use of enrichment metrics and misleading results, and demonstrates the inherent delicacy of in silico methods, emphasizing the challenging character of virtual screening protocol optimization.
机译:全面筛选了具有明显结构多样性的化合物集合,以寻找DNA损伤相关激酶CK1的抑制剂。对收集物进行体外评估。发现了一种有效的和选择性的CK1抑制剂,并在癌细胞系中证明了其调节CK1调节的肿瘤抑制因子p53的内源性水平的能力。施用10μM的化合物导致p53水平显着增加,在肝细胞癌细胞中几乎达到2倍。在进行实验筛选的同时,还采用了两种代表性和正交的计算机模拟筛选方法,以便能够根据具体情况对虚拟筛选性能进行回顾性评估。结果表明,两种技术均在可接受且相当可比的水平上进行,与基于配体的方法相比,基于结构的方法略有优势。但是,这两种方法均显示出对参数的显着敏感性,例如筛选模板的选择和枚举化合物集合中冗余的处理。结合两种方法的顺序实施所获得的见识的努力使得筛选性能进一步改善。总体而言,本文提出的评估突出显示了浓缩指标使用不当与误导性结果之间的关系,并展示了计算机方法的固有美味,强调了虚拟筛选方案优化的挑战性。

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