Fukui Institute for Fundamental Chemistry, Kyoto University, 34-4 Takano Nishihiraki-cho, Sakyo-ku, Kyoto 606-8103, Japan, and Cherry L. Emerson Center for Scientific Computation and Department of Chemistry, Emory University, Atlanta, Georgia 30322, United States.
J Chem Theory Comput. 2011 Feb 8;7(2):390-401. doi: 10.1021/ct1005592. Epub 2010 Dec 29.
The protein environment can have significant effects on the enzyme catalysis even though the reaction occurs locally at the reaction center. In this paper, we describe an efficient scheme that includes a classical molecular dynamics (MD) free-energy perturbation (FEP) correction to the reaction energy diagram, as a complement to the protein effect obtained from static ONIOM (QM:MM) calculations. The method is applied to eight different reaction steps, from the O2-bound reactant to formation of a high-valent ferryl-oxo intermediate, in the nonheme iron enzyme isopenicillin N synthase (IPNS), for which the QM:MM energy diagram has previously been computed [ Lundberg , M. et al. J. Chem. Theory Comput. 2009 , 5 , 220 - 234 ]. This large span of the reaction coordinate is covered by dividing each reaction step into microsteps using a virtual reaction coordinate, thus only requiring ONIOM information about the stationary points themselves. Protein effects are important for C-H bond activation and heterolytic O-O bond cleavage because both these two steps involve charge transfer, and compared to a static QM:MM energies, the dynamics of the protein environment changes the barrier for O-O bond cleavage by several kcal/mol. The origin of the dynamical contribution is analyzed in two terms, the geometrical effect caused by the change in average protein geometry (compared to the optimized geometry) in the room temperature MD simulation with the solvent, and the statistical (entropic) effect resulting from fluctuations in the interactions between the active site and the protein environment. These two effects give significant contributions in different steps of the reaction.
蛋白质环境即使在反应中心局部发生,也会对酶催化产生显著影响。在本文中,我们描述了一种有效的方案,该方案包括对反应能量图进行经典分子动力学(MD)自由能微扰(FEP)修正,作为从静态 ONIOM(QM:MM)计算中获得的蛋白质效应的补充。该方法应用于非血红素铁酶异青霉素 N 合酶(IPNS)的八个不同反应步骤,从 O2 结合的反应物到高价铁氧中间物的形成,此前已经计算了 QM:MM 能量图[Lundberg,M.等人,J. Chem. Theory Comput.,2009,5,220-234]。通过使用虚拟反应坐标将每个反应步骤划分为微步骤,可以覆盖反应坐标的大跨度,因此仅需要关于静止点本身的 ONIOM 信息。蛋白质效应对于 C-H 键活化和异裂 O-O 键断裂很重要,因为这两个步骤都涉及电荷转移,与静态 QM:MM 能量相比,蛋白质环境的动力学变化会使 O-O 键断裂的势垒发生几个千卡/摩尔的变化。通过两种术语分析动态贡献的来源,即由于溶剂中室温 MD 模拟中蛋白质平均几何形状(与优化几何形状相比)的变化引起的几何效应,以及由于活性位点与蛋白质环境之间的相互作用波动引起的统计(熵)效应。这两个效应在反应的不同步骤中都有显著贡献。