Singh Suresh B, Shen Lucy Q, Walker Matthew J, Sheridan Robert P
Department of Molecular Systems Merck Research Laboratories, 126 E. Lincoln Avenue, RY50SW-100, Rahway, New Jersey 07065-0900, USA.
J Med Chem. 2003 Apr 10;46(8):1330-6. doi: 10.1021/jm020400s.
We have developed a rapid semiquantitative model for evaluating the relative susceptibilities of different sites on drug molecules to metabolism by cytochrome P450 3A4. The model is based on the energy necessary to remove a hydrogen radical from each site, plus the surface area exposure of the hydrogen atom. The energy of hydrogen radical abstraction is conventionally measured by AM1 semiempirical molecular orbital calculations. AM1 calculations show the following order of radical stabilities for the hydrogen atom abstractions: sp2 centers > heteroatom sp3 centers > carbon sp3 centers. Since AM1 calculations are too time intensive for routine work, we developed a statistical trend vector model, which is used to estimate the AM1 abstraction energy of a hydrogen atom from its local atomic environment. We carried out AM1 and trend vector calculations on 50 CYP3A4 substrates whose major sites of metabolism are known in the literature. A plot of the lowest hydrogen radical formation energy versus its sterically accessible surface area exposure for these 50 substrates shows that only those hydrogen atoms with solvent accessible surface area exposure > or = 8.0 A(2) are susceptible to CYP3A4-mediated metabolism. This approach forms the basis for our general model, which predicts sites on drugs that are susceptible to cytochrome P450 3A4-mediated hydrogen radical abstraction followed by a hydroxylation reaction. This model, in conjunction with specific enzyme site binding requirements, can aid in identifying possible sites of metabolism catalyzed by other cytochrome P450 enzymes.
我们已经开发出一种快速半定量模型,用于评估药物分子上不同位点对细胞色素P450 3A4介导代谢的相对敏感性。该模型基于从每个位点去除氢自由基所需的能量,加上氢原子的表面积暴露。氢自由基提取的能量通常通过AM1半经验分子轨道计算来测量。AM1计算显示了氢原子提取的自由基稳定性顺序如下:sp2中心>杂原子sp3中心>碳sp3中心。由于AM1计算对于日常工作来说耗时过长,我们开发了一种统计趋势向量模型,用于根据氢原子的局部原子环境估计其AM1提取能量。我们对50种CYP3A4底物进行了AM1和趋势向量计算,这些底物的主要代谢位点在文献中是已知的。对于这50种底物,最低氢自由基形成能量与其空间可及表面积暴露的关系图表明,只有那些溶剂可及表面积暴露≥8.0 Ų的氢原子才易受CYP3A4介导的代谢影响。这种方法构成了我们通用模型的基础,该模型可预测药物上易受细胞色素P450 3A4介导的氢自由基提取并随后发生羟基化反应的位点。该模型与特定酶位点结合要求相结合,可有助于识别由其他细胞色素P450酶催化的可能代谢位点。