CYP1A亚家族成员间内源性和外源性底物功能聚类的差异

P. Urban, G. Truan, D. Pompon
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引用次数: 6

摘要

通过高通量方法研究了哺乳动物CYP1A亚家族的四种细胞色素P450 (CYP),人和小鼠CYP1A1s以及人和兔CYP1A2s代谢一系列类固醇及相关化合物的能力。在标准化自动化条件下测定了16种甾类底物和20种多环芳烃(PAH)底物的氧化速率和代谢模式。使用归一化活性数据集的多元统计来整理有意义的信息并比较被测酶的功能特征。有趣的是,对于类固醇底物,兔CYP1A2明确地与人类和小鼠cyp1a1聚集,并且似乎与人类CYP1A2在功能上不同。相比之下,外源性多环芳烃底物的功能分类与序列分类一致。观察到的特征依赖于大量的底物,它们都呈现出类似的化学支架,但用不同的取代基装饰,类似于药物开发中使用的化学系列。因此,内源性和外源性底物与CYP1A酶的差异功能簇被证明。兔CYP1A2上的一些残基可能解释了其对类固醇不寻常的1a1样特异性,这些残基已经在活性位点和蛋白质表面被鉴定出来。因此,这些特定的残留物似乎对整体底物类别区分起着控制作用,可能涉及底物体积和形状感知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differences in Functional Clustering of Endogenous and Exogenous Substrates Between Members of the CYP1A Subfamily
The ability of four mammalian cytochromes P450 (CYP) of the CYP1A subfamily, human and mouse CYP1A1s and human and rabbit CYP1A2s, to metabolize a series of steroids and related compounds was investigated us- ing high throughput approaches. Oxidation rates and metabolite patterns for 16 steroid substrates and for 20 polycyclic aromatic hydrocarbon (PAH) substrates were determined in standardized automated conditions. Multivariate statistics of normalized activity data sets was used to sort out significant information and to compare functional signatures of assayed enzymes. Interestingly, for steroid substrates, rabbit CYP1A2 unambiguously aggregates with human and mouse CYP1A1s and appears functionally divergent from human CYP1A2. In contrast, the functional classification was found consistent with the sequence classification when exogenous PAH substrates were tested. The observed features rely on a large set of substrates, all presenting a similar chemical scaffold but decorated with different substituents similar to chemical series used in drug development. Differential functional clusters are thus evidenced for endogenous and exoge- nous substrates with CYP1A enzymes. A few residues on rabbit CYP1A2 that may account for its unusual 1A1-like speci- ficity toward steroids have been identified both within the active site and at the protein surface. These specific residues thus seem to play a controlling role for global substrate class discrimination, potentially by involving substrate bulkiness and shape sensing.
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