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基于对接的11β-羟基类固醇脱氢酶1抑制剂的3D-QSAR研究

Docking-based 3D-QSAR study for 11beta-HSD1 inhibitors.

作者信息

Lee Jin Hee, Kang Nam Sook, Yoo Sung-Eun

机构信息

Center for Drug Discovery Technologies, Korea Research Institute of Chemical Technology, Yu seong-gu, Daejon 305-600, Republic of Korea.

出版信息

Bioorg Med Chem Lett. 2008 Apr 1;18(7):2479-90. doi: 10.1016/j.bmcl.2008.02.042. Epub 2008 Feb 19.

Abstract

11beta-Hydroxysteroid dehydrogenase (11beta-HSD) enzymes catalyze the conversion of biologically inactive 11-ketosteroids into their active 11beta-hydroxy derivatives and vice versa. 11beta-HSD1 has been studied as a potential treatment for metabolic disease such as diabetes and obesity. To find correlation between 11beta-HSD1 and inhibitors, three-dimensional quantitative structure-activity relationship (3D-QSAR) studies were performed on 70 inhibitors, based on molecular docking conformations obtained by using FlexX-Pharm. The studies include comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). Based on the docking results, highly predictive 3D-QSAR models were developed with q(2) values of 0.543 and 0.519 for CoMFA and CoMSIA, respectively. A comparison of the 3D-QSAR field contributions with the structural features of the binding site showed good correlation between the two analyses. Therefore, these results should be useful to the prediction of the activities of new 11beta-HSD1 inhibitors.

摘要

11β-羟基类固醇脱氢酶(11β-HSD)催化生物活性较低的11-酮类固醇转化为其活性11β-羟基衍生物,反之亦然。11β-HSD1已被作为治疗糖尿病和肥胖症等代谢疾病的潜在药物进行研究。为了找出11β-HSD1与抑制剂之间的相关性,基于使用FlexX-Pharm获得的分子对接构象,对70种抑制剂进行了三维定量构效关系(3D-QSAR)研究。这些研究包括比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)。基于对接结果,分别建立了CoMFA和CoMSIA的高预测性3D-QSAR模型,其q(2)值分别为0.543和0.519。将3D-QSAR场贡献与结合位点的结构特征进行比较,结果表明两种分析之间具有良好的相关性。因此,这些结果对于预测新型11β-HSD1抑制剂的活性应该是有用的。

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