Makowska Joanna, Bagińska Katarzyna, Kasprzykowski F, Vila Jorge A, Jagielska Anna, Liwo Adam, Chmurzyński Lech, Scheraga Harold A
Faculty of Chemistry, University of Gdańsk, Sobieskiego 18, 80-952 Gdańsk, Poland.
Biopolymers. 2005;80(2-3):214-24. doi: 10.1002/bip.20180.
We assessed the correlation between charge distribution and conformation of flexible peptides by comparing the theoretically calculated potentiometric-titration curves of two model peptides, Ac-Lys5-NHMe (a model of poly-L-lysine) and Ac-Lys-Ala11-Lys-Gly2-Tyr-NH2 (P1) in water and methanol, with the experimental curves. The calculation procedure consisted of three steps: (i) global conformational search of the peptide under study using the electrostatically driven Monte Carlo (EDMC) method with the empirical conformational energy program for peptides (ECEPP)/3 force field plus the surface-hydration (SRFOPT) or the generalized Born surface area (GBSA) solvation model as well as a molecular dynamics method with the assisted model building and energy refinement (AMBER)99/GBSA force field; (ii) reevaluation of the energy in the pH range considered by using the modified Poisson-Boltzmann approach and taking into account all possible protonation microstates of each conformation, and (iii) calculation of the average degree of protonation of the peptide at a given pH value by Boltzmann averaging over conformations. For Ac-Lys5-NHMe, the computed titration curve agrees qualitatively with the experimental curve of poly-L-lysine in 95% methanol. The experimental titration curves of peptide P1 in water and methanol indicate a remarkable downshift of the first pK(a) value compared to the values for reference compounds (n-butylamine and phenol, respectively), suggesting the presence of a hydrogen bond between the tyrosine hydroxyl oxygen and the H(epsilon) proton of a protonated lysine side chain. The theoretical titration curves agree well with the experimental curves, if conformations with such hydrogen bonds constitute a significant part of the ensemble; otherwise, the theory predicts too small a downward pH shift.
我们通过比较两种模型肽,即乙酰化赖氨酸五肽(聚-L-赖氨酸模型)和乙酰化赖氨酸-丙氨酸11-赖氨酸-甘氨酸2-酪氨酸-氨基(P1)在水和甲醇中的理论计算电位滴定曲线与实验曲线,评估了柔性肽的电荷分布与构象之间的相关性。计算过程包括三个步骤:(i)使用静电驱动蒙特卡罗(EDMC)方法对所研究的肽进行全局构象搜索,该方法采用肽的经验构象能量程序(ECEPP)/3力场加上表面水化(SRFOPT)或广义玻恩表面积(GBSA)溶剂化模型,以及使用辅助模型构建和能量优化(AMBER)99/GBSA力场的分子动力学方法;(ii)通过使用修正的泊松-玻尔兹曼方法并考虑每个构象的所有可能质子化微状态,重新评估所考虑pH范围内的能量,以及(iii)通过对构象进行玻尔兹曼平均计算给定pH值下肽的平均质子化程度。对于乙酰化赖氨酸五肽,计算得到的滴定曲线在定性上与95%甲醇中聚-L-赖氨酸的实验曲线一致。肽P1在水和甲醇中的实验滴定曲线表明,与参考化合物(分别为正丁胺和苯酚)的值相比,第一个pK(a)值显著下移,这表明酪氨酸羟基氧与质子化赖氨酸侧链的H(ε)质子之间存在氢键。如果具有这种氢键的构象在整体中占很大一部分,则理论滴定曲线与实验曲线吻合良好;否则,理论预测的pH下移太小。