Warshel A, Sussman F, Hwang J K
Department of Chemistry, University of Southern California, Los Angeles 90089-0482.
J Mol Biol. 1988 May 5;201(1):139-59. doi: 10.1016/0022-2836(88)90445-7.
A combination of the empirical valence bond method and a free energy perturbation approach is used to simulate the activity of genetically modified enzymes. The simulations reproduce in a semiquantitative way the observed effects of mutations on the activity and binding free energies of trypsin and subtilisin. This suggests that we are approaching a stage of quantitative structure-function correlation of enzymes. The analysis of the calculations points towards the electrostatic energy of the reacting system as the key factor in enzyme catalysis. The changes in the charges of the reacting system and the corresponding changes in "solvation" free energy (generalized here as the interaction between the charges and the given microenvironment) are emphasized. It is argued that a reliable evaluation of these changes might be sufficient for correlating structure and catalysis. The use of free energy perturbation methods and thermodynamic cycles for evaluation of solvation energies and reactivity is discussed, pointing out our early contributions. The apparent elaborated nature of our treatment is clarified, explaining that such a treatment is essential for consistent calculations of chemical reactions in polar environments. The problems associated with seemingly more rigorous quantum mechanical methods are discussed, emphasizing the inconsistency associated with using gas phase charge distributions. The importance of dynamic aspects is examined by evaluating the autocorrelation of the protein "reaction field" on the reacting substrate. It is found that, at least in the present case, dynamic effects are not important. The nature of the catalytic free energy is considered, arguing that the protein provides preoriented dipoles (polarized to stabilize the transition state charge distribution) and small reorganization energy, thus reducing the activation free energy. The corresponding catalytic free energy is related to the folding free energy, which is being invested in aligning the active site dipoles.
结合经验价键法和自由能微扰方法来模拟转基因酶的活性。这些模拟以半定量的方式重现了突变对胰蛋白酶和枯草杆菌蛋白酶活性及结合自由能的观测效应。这表明我们正接近酶的定量结构 - 功能相关性阶段。计算分析表明,反应体系的静电能是酶催化的关键因素。强调了反应体系电荷的变化以及“溶剂化”自由能的相应变化(在此广义化为电荷与给定微环境之间的相互作用)。有人认为,对这些变化进行可靠评估可能足以关联结构与催化作用。讨论了使用自由能微扰方法和热力学循环来评估溶剂化能和反应性,并指出了我们早期的贡献。阐明了我们处理方法看似精细的本质,解释了这种处理对于在极性环境中一致计算化学反应至关重要。讨论了与看似更严格的量子力学方法相关的问题,强调了使用气相电荷分布的不一致性。通过评估反应底物上蛋白质“反应场”的自相关来研究动态方面的重要性。发现至少在当前情况下,动态效应并不重要。考虑了催化自由能的本质,认为蛋白质提供了预取向的偶极子(极化以稳定过渡态电荷分布)和小的重组能,从而降低了活化自由能。相应的催化自由能与折叠自由能相关,折叠自由能用于使活性位点偶极子排列整齐。