Makowska Joanna, Bagiñska Katarzyna, Makowski Mariusz, Jagielska Anna, Liwo Adam, Kasprzykowski Franciszek, Chmurzyñski Lech, Scheraga Harold A
Faculty of Chemistry, University of Gdańsk, Sobieskiego 18, 80-952 Gdańsk, Poland.
J Phys Chem B. 2006 Mar 9;110(9):4451-8. doi: 10.1021/jp054814j.
We compared the ability of two theoretical methods of pH-dependent conformational calculations to reproduce experimental potentiometric titration curves of two models of peptides: Ac-K5-NHMe in 95% methanol (MeOH)/5% water mixture and Ac-XX(A)7OO-NH2 (XAO) (where X is diaminobutyric acid, A is alanine, and O is ornithine) in water, methanol (MeOH), and dimethyl sulfoxide (DMSO), respectively. The titration curve of the former was taken from the literature, and the curve of the latter was determined in this work. The first theoretical method involves a conformational search using the electrostatically driven Monte Carlo (EDMC) method with a low-cost energy function (ECEPP/3 plus the SRFOPT surface-solvation model, assumming that all titratable groups are uncharged) and subsequent reevaluation of the free energy at a given pH with the Poisson-Boltzmann equation, considering variable protonation states. In the second procedure, molecular dynamics (MD) simulations are run with the AMBER force field and the generalized Born model of electrostatic solvation, and the protonation states are sampled during constant-pH MD runs. In all three solvents, the first pKa of XAO is strongly downshifted compared to the value for the reference compounds (ethylamine and propylamine, respectively); the water and methanol curves have one, and the DMSO curve has two jumps characteristic of remarkable differences in the dissociation constants of acidic groups. The predicted titration curves of Ac-K5-NHMe are in good agreement with the experimental ones; better agreement is achieved with the MD-based method. The titration curves of XAO in methanol and DMSO, calculated using the MD-based approach, trace the shape of the experimental curves, reproducing the pH jump, while those calculated with the EDMC-based approach and the titration curve in water calculated using the MD-based approach have smooth shapes characteristic of the titration of weak multifunctional acids with small differences between the dissociation constants. Nevertheless, quantitative agreement between theoretically predicted and experimental titration curves is not achieved in all three solvents even with the MD-based approach, which is manifested by a smaller pH range of the calculated titration curves with respect to the experimental curves. The poorer agreement obtained for water than for the nonaqueous solvents suggests a significant role of specific solvation in water, which cannot be accounted for by the mean-field solvation models.
我们比较了两种pH依赖构象计算理论方法再现两种肽模型实验电位滴定曲线的能力:分别是在95%甲醇(MeOH)/5%水混合物中的Ac-K5-NHMe,以及在水、甲醇(MeOH)和二甲基亚砜(DMSO)中的Ac-XX(A)7OO-NH2(XAO)(其中X是二氨基丁酸,A是丙氨酸,O是鸟氨酸)。前者的滴定曲线取自文献,后者的曲线是在本工作中测定的。第一种理论方法包括使用具有低成本能量函数(ECEPP/3加上SRFOPT表面溶剂化模型,假设所有可滴定基团均不带电)的静电驱动蒙特卡罗(EDMC)方法进行构象搜索,随后使用泊松-玻尔兹曼方程在给定pH下重新评估自由能,同时考虑可变质子化状态。在第二种方法中,使用AMBER力场和广义玻恩静电溶剂化模型进行分子动力学(MD)模拟,并在恒pH MD运行期间对质子化状态进行采样。在所有三种溶剂中,与参考化合物(分别为乙胺和丙胺)的值相比,XAO的第一个pKa均大幅下移;水和甲醇曲线有一个跳跃,而DMSO曲线有两个跳跃,这是酸性基团解离常数存在显著差异的特征。Ac-K5-NHMe的预测滴定曲线与实验曲线吻合良好;基于MD的方法取得了更好拟合。使用基于MD的方法计算的XAO在甲醇和DMSO中的滴定曲线追踪了实验曲线的形状,再现了pH跳跃,而使用基于EDMC的方法计算的滴定曲线以及使用基于MD的方法计算的在水中的滴定曲线具有弱多功能酸滴定的平滑形状,解离常数之间差异较小。然而,即使使用基于MD的方法,在所有三种溶剂中理论预测的滴定曲线与实验滴定曲线之间也未实现定量吻合,这表现为计算的滴定曲线的pH范围相对于实验曲线较小。在水中获得的拟合比在非水溶剂中差,这表明特定溶剂化在水中起重要作用,而平均场溶剂化模型无法解释这一点。