Williams R L, Vila J, Perrot G, Scheraga H A
Baker Laboratory of Chemistry, Cornell University, Ithaca, New York 14853-1301.
Proteins. 1992 Sep;14(1):110-9. doi: 10.1002/prot.340140112.
Continuum solvation models that estimate free energies of solvation as a function of solvent accessible surface area are computationally simple enough to be useful for predicting protein conformation. The behavior of three such solvation models has been examined by applying them to the minimization of the conformational energy of bovine pancreatic trypsin inhibitor. The models differ only with regard to how the constants of proportionality between free energy and surface area were derived. Each model was derived by fitting to experimentally measured equilibrium solution properties. For two models, the solution property was free energy of hydration. For the third, the property was NMR coupling constants. The purpose of this study is to determine the effect of applying these solvation models to the nonequilibrium conformations of a protein arising in the course of global searches for conformational energy minima. Two approaches were used: (1) local energy minimization of an ensemble of conformations similar to the equilibrium conformation and (2) global search trajectories using Monte Carlo plus minimization starting from a single conformation similar to the equilibrium conformation. For the two models derived from free energy measurements, it was found that both the global searches and local minimizations yielded conformations more similar to the X-ray crystallographic structures than did searches or local minimizations carried out in the absence of a solvation component of the conformational energy. The model derived from NMR coupling constants behaved similarly to the other models in the context of a global search trajectory. For one of the models derived from measured free energies of hydration, it was found that minimization of an ensemble of near-equilibrium conformations yielded a new ensemble in which the conformation most similar to the X-ray determined structure PTI4 had the lowest total free energy. Despite the simplicity of the continuum solvation models, the final conformation generated in the trajectories for each of the models exhibited some of the characteristics that have been reported for conformations obtained from molecular dynamics simulations in the presence of a bath of explicit water molecules. They have smaller root mean square (rms) deviations from the experimentally determined conformation, fewer incorrect hydrogen bonds, and slightly larger radii of gyration than do conformations derived from search trajectories carried out in the absence of solvent.
连续介质溶剂化模型将溶剂化自由能估计为溶剂可及表面积的函数,其计算简单,足以用于预测蛋白质构象。通过将三种这样的溶剂化模型应用于牛胰蛋白酶抑制剂构象能量的最小化,研究了它们的行为。这些模型仅在自由能与表面积之间的比例常数的推导方式上有所不同。每个模型都是通过拟合实验测量的平衡溶液性质而推导出来的。对于其中两个模型,溶液性质是水合自由能。对于第三个模型,性质是核磁共振耦合常数。本研究的目的是确定将这些溶剂化模型应用于蛋白质在全局搜索构象能量最小值过程中出现的非平衡构象的影响。使用了两种方法:(1) 对类似于平衡构象的一组构象进行局部能量最小化,以及 (2) 从类似于平衡构象的单个构象开始,使用蒙特卡罗加最小化的全局搜索轨迹。对于从自由能测量推导出来的两个模型,发现全局搜索和局部最小化产生的构象比在没有构象能量的溶剂化成分的情况下进行的搜索或局部最小化产生的构象更类似于X射线晶体学结构。在全局搜索轨迹的背景下,从核磁共振耦合常数推导出来的模型的行为与其他模型相似。对于从测量的水合自由能推导出来的模型之一,发现对一组近平衡构象进行最小化产生了一个新的集合,其中与X射线确定的结构PTI4最相似的构象具有最低的总自由能。尽管连续介质溶剂化模型很简单,但每个模型在轨迹中生成的最终构象表现出一些在存在明确水分子浴的情况下从分子动力学模拟获得的构象所报道的特征。与在没有溶剂的情况下进行的搜索轨迹推导出来的构象相比,它们与实验确定的构象的均方根 (rms) 偏差更小,不正确的氢键更少,回转半径略大。