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首页> 外文期刊>Drug Metabolism and Disposition: The Biological Fate of Chemicals >Combined three-dimensional quantitative structure-activity relationship analysis of cytochrome P450 2B6 substrates and protein homology modeling.
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Combined three-dimensional quantitative structure-activity relationship analysis of cytochrome P450 2B6 substrates and protein homology modeling.

机译:结合细胞色素P450 2B6底物的三维定量构效关系分析和蛋白质同源性建模。

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摘要

Understanding the basis of the substrate specificity of cytochrome P450 2B6 (CYP2B6) is important for determining the role of this enzyme in drug metabolism and for predicting new substrates. Pharmacophores were generated for 16 structurally diverse CYP2B6 substrates with Catalyst after overlapping the reaction sites. Two pharmacophores were determined for the CYP2B6 binding site. Both include two hydrophobes and one hydrogen bond acceptor. The three-dimensional structure of CYP2B6 was then modeled based on the crystal structure of CYP2C5. Benzyloxyresorufin and 7-ethoxy-4-trifluoromethylcoumarin, the two lowest K(m) substrates in the training set, were then docked in the active site of CYP2B6. The pharmacophores were combined with the CYP2B6 model by comparing the docking results and the mapping of the two substrates with the pharmacophores. The results indicated that the active site of CYP2B6 complements the pharmacophores. The pharmacophores and the CYP2B6 model were used in conjunction to predict the K(m) values of substrates in a test set of five compounds and yielded satisfactory predictions for benzphetamine, cinnarizine, bupropion, and verapamil but not lidocaine. The CYP2B6 model, the pharmacophores, and the combination of the model with these pharmacophores provide insight into the interactions of CYP2B6 with substrates. The pharmacophores may be used as queries to search a database to predict new substrates for CYP2B6 when the reaction site is known (N- or O-dealkylation). For C-hydroxylation, the CYP2B6 model is helpful in evaluating the possible reaction sites in order for the pharmacophores to predict corresponding K(m) values.
机译:了解细胞色素P450 2B6(CYP2B6)底物特异性的基础对于确定该酶在药物代谢中的作用以及预测新底物很重要。在重叠反应位点后,使用催化剂生成了16种结构多样的CYP2B6底物的药效基团。确定两个药效团的CYP2B6结合位点。两者都包括两个疏水基和一个氢键受体。然后基于CYP2C5的晶体结构对CYP2B6的三维结构进行建模。然后将苄氧基间苯二酚和7-乙氧基-4-三氟甲基香豆素(在训练组中两个最低的K(m)底物)停靠在CYP2B6的活性位点。通过比较对接结果和两种底物与药效团的映射,将药效团与CYP2B6模型组合。结果表明CYP2B6的活性位点与药效团互补。药效基团和CYP2B6模型一起用于预测五种化合物测试集中底物的K(m)值,并对苯丙胺,肉桂酸,安非他酮和维拉帕米(而非利多卡因)产生令人满意的预测。 CYP2B6模型,药效基团以及该模型与这些药效基团的组合提供了对CYP2B6与底物相互作用的深入了解。当已知反应位点(N-或O-脱烷基)时,药效团可用作查询以搜索数据库以预测CYP2B6的新底物。对于C-羟基化,CYP2B6模型有助于评估可能的反应位点,以便药效团预测相应的K(m)值。

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