Department of Physical Chemistry, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba 263-8522, Japan.
J Comput Chem. 2010 Nov 30;31(15):2746-58. doi: 10.1002/jcc.21568.
Cytochrome P450 (CYP) is deeply involved in the metabolism of chemicals including pharmaceuticals. Therefore, polymorphisms of this enzyme have been widely studied to avoid unfavorable side effects of drugs in chemotherapy. In this work, we performed computational analysis of the mechanism of the decrease in enzymatic activity for three typical polymorphisms in CYP 2C9 species: 2, 3, and 5. Based on the equilibrated structure obtained by molecular dynamics simulation, the volume of the binding pocket and the fluctuation of amino residues responsible for substrate holding were compared between the wild type and the three variants. Further docking simulation was carried out to evaluate the appropriateness of the binding pocket to accommodate substrate chemicals. Every polymorphic variant was suggested to be inferior to the wild type in enzymatic ability from the structural viewpoint. F-G helices were obviously displaced outward in CYP2C92. Expansion of the binding pocket, especially the space near F' helix, was remarkable in CYP2C93. Disappearance of the hydrogen bond between K helix and β4 loop was observed in CYP2C95. The reduction of catalytic activity of those variants can be explained from the deformation of the binding pocket and the consequent change in binding mode of substrate chemicals. The computational approach is effective for predicting the enzymatic activity of polymorphic variants of CYP. This prediction will be helpful for advanced drug design because calculations forecast unexpected change in drug efficacy for individuals.
细胞色素 P450(CYP)广泛参与包括药物在内的化学物质的代谢。因此,广泛研究了这种酶的多态性,以避免化疗中药物的不利副作用。在这项工作中,我们对 CYP 2C9 物种中三种典型多态性的酶活性降低机制进行了计算分析:2、3 和5。基于分子动力学模拟获得的平衡结构,比较了野生型和三种变体之间负责底物结合的结合口袋体积和氨基酸残基的波动。进一步进行对接模拟以评估结合口袋容纳底物化学物质的适宜性。从结构角度来看,每个多态变体的酶活性均劣于野生型。在 CYP2C92 中,F-G 螺旋明显向外移位。在 CYP2C93 中,结合口袋扩张明显,尤其是 F' 螺旋附近的空间。在 CYP2C95 中观察到 K 螺旋和β4 环之间氢键的消失。这些变体催化活性的降低可以从结合口袋的变形和底物化学结合模式的相应变化来解释。计算方法可有效预测 CYP 多态变体的酶活性。这种预测对于先进的药物设计将是有帮助的,因为计算可以预测个体药物疗效的意外变化。