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首页> 外文期刊>Journal of Computer-Aided Molecular Design >Comparison of a homology model and the crystallographic structure of human 11β-hydroxysteroid dehydrogenase type 1 (11βHSD1) in a structure-based identification of inhibitors
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Comparison of a homology model and the crystallographic structure of human 11β-hydroxysteroid dehydrogenase type 1 (11βHSD1) in a structure-based identification of inhibitors

机译:基于抑制剂的结构识别中人11β-羟基类固醇脱氢酶1(11βHSD1)的同源性模型和晶体结构的比较

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Human 11β-hydroxysteroid dehydrogenase type 1 (11βHSD1) catalyzes the interconversion of cortisone into active cortisol. 11βHSD1 inhibition is a tempting target for the treatment of a host of human disorders that might benefit from blockade of glucocorticoid action, such as obesity, metabolic syndrome, and diabetes type 2. Here, we report an in silico screening study aimed at identifying new selective inhibitors of human 11βHSD1 enzyme. In the first step, homology modeling was employed to build the 3D structure of 11βHSD1. Further, molecular docking was used to validate the predicted model by showing that it was able to discriminate between known 11βHSD1 inhibitors or substrates and non-inhibitors. The homology model was found to reproduce closely the crystal structure that became publicly available in the final stages of this work. Finally, we carried out structure-based virtual screening experiments on both the homology model and the crystallographic structure with a database of 114’000 natural molecules. Among these, 15 molecules were consistently selected as inhibitors based on both the model and crystal structures of the enzyme, implying a good quality for the homology model. Among these putative 11βHSD1 inhibitors, two were flavonone derivatives that have already been shown to be potent inhibitors of the enzyme.
机译:人类11β-羟基类固醇脱氢酶1(11βHSD1)催化可的松向活性皮质醇的相互转化。抑制11βHSD1是治疗许多人类疾病的诱人靶点,这些疾病可能受益于糖皮质激素作用的阻断,例如肥胖症,代谢综合征和2型糖尿病。在这里,我们报道了一项计算机筛查研究,旨在确定新的选择性11βHSD1酶抑制剂。第一步,采用同源性建模来构建11βHSD1的3D结构。此外,分子对接通过证明能够区分已知的11βHSD1抑制剂或底物和非抑制剂而被用于验证预测模型。同源模型被发现可以紧密地复制晶体结构,该晶体结构在这项工作的最后阶段是公开可用的。最后,我们使用114000个天然分子的数据库对同源性模型和晶体结构进行了基于结构的虚拟筛选实验。其中,根据酶的模型和晶体结构,始终选择15个分子作为抑制剂,这表明同源模型的质量很高。在这些推定的11βHSD1抑制剂中,有两种是黄酮酮衍生物,它们已被证明是该酶的有效抑制剂。

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