Klähn Marco, Braun-Sand Sonja, Rosta Edina, Warshel Arieh
Department of Chemistry, University of Southern California, 3620 South McClintock Avenue, Los Angeles, California 90089-1062, USA.
J Phys Chem B. 2005 Aug 18;109(32):15645-50. doi: 10.1021/jp0521757.
Reliable studies of enzymatic reactions by combined quantum mechanics/molecular mechanics (QM/MM) approaches, with an ab initio description of the quantum region, presents a major challenge to computational chemists. The main problem is the need for a very large computer time for the evaluation of the QM energy, which in turn makes it extremely challenging to perform proper configurational sampling. A seemingly reasonable alternative is to perform energy minimization studies of the type used in gas-phase ab initio studies. However, it is hard to see why such an approach should give reliable results in protein active sites. To examine the problems with energy minimization QM/MM approaches, we chose the hypothetical reaction of a metaphosphate ion with water in the Ras.GAP complex. This hypothetical reaction served as a simple benchmark reaction. The possible problems with the QM/MM minimization were explored by generating several protein configurations from long MD simulations and using energy minimization and scanning of the reaction coordinates to evaluate the corresponding potential energy surfaces of the reaction for each of these different protein configurations. Comparing these potential energy surfaces, we found major variations of the corresponding minima. Furthermore, the reaction energies and activation energies also varied significantly even for similar protein configurations. The specific coordination of a magnesium ion, present in the active center of the protein complex, turned out to influence the energetics of the reaction in a major way, where a direct coordination to the reactant leads to an increase of the activation energy by 17 kcal/mol. Apparently, using energy minimization to generate potential surfaces for an enzymatic reaction, while starting from a single protein structure, could lead to major errors in calculations of activation free energies and binding free energies. Thus we believe that extensive samplings of the configurational space of the protein are essential for meaningful determination of the energetics of enzymatic reactions. The possible relevance of our conclusion with regard to a recent study of the RasGAP reaction is discussed.
采用量子力学/分子力学(QM/MM)相结合的方法,对量子区域进行从头算描述,来可靠地研究酶促反应,这给计算化学家带来了重大挑战。主要问题在于评估QM能量需要非常长的计算机时间,这反过来使得进行适当的构型采样极具挑战性。一个看似合理的替代方法是进行气相从头算研究中使用的那种能量最小化研究。然而,很难理解为什么这样的方法在蛋白质活性位点能给出可靠的结果。为了研究能量最小化QM/MM方法存在的问题,我们选择了亚磷酸根离子与Ras.GAP复合物中的水发生的假设反应。这个假设反应作为一个简单的基准反应。通过对长时间分子动力学模拟生成的几种蛋白质构型进行研究,并使用能量最小化和反应坐标扫描来评估这些不同蛋白质构型下反应的相应势能面,探索了QM/MM最小化可能存在的问题。比较这些势能面,我们发现相应最小值存在很大差异。此外,即使对于相似的蛋白质构型,反应能量和活化能也有显著变化。结果表明,存在于蛋白质复合物活性中心的镁离子的特定配位对反应能量学有重大影响,直接与反应物配位会使活化能增加17千卡/摩尔。显然,从单一蛋白质结构出发,使用能量最小化来生成酶促反应的势能面,可能会在活化自由能和结合自由能的计算中导致重大误差。因此,我们认为对蛋白质构型空间进行广泛采样对于有意义地确定酶促反应的能量学至关重要。我们还讨论了我们的结论与最近关于RasGAP反应研究的可能相关性。