You T J, Bashford D
Department of Molecular Biology, Scripps Research Institute, La Jolla, California 92037, USA.
Biophys J. 1995 Nov;69(5):1721-33. doi: 10.1016/S0006-3495(95)80042-1.
A new method for including local conformational flexibility in calculations of the hydrogen ion titration of proteins using macroscopic electrostatic models is presented. Intrinsic pKa values and electrostatic interactions between titrating sites are calculated from an ensemble of conformers in which the positions of titrating side chains are systematically varied. The method is applied to the Asp, Glu, and Tyr residues of hen lysozyme. The effects of different minimization and/or sampling protocols for both single-conformer and multi-conformer calculations are studied. For single-conformer calculations it is found that the results are sensitive to the choice of all-hydrogen versus polar-hydrogen-only atomic models and to the minimization protocol chosen. The best overall agreement of single-conformer calculations with experiment is obtained with an all-hydrogen model and either a two-step minimization process or minimization using a high dielectric constant. Multi-conformational calculations give significantly improved agreement with experiment, slightly smaller shifts between model compound pKa values and calculated intrinsic pKa values, and reduced sensitivity of the intrinsic pKa calculations to the initial details of the structure compared to single-conformer calculations. The extent of these improvements depends on the type of minimization used during the generation of conformers, with more extensive minimization giving greater improvements. The ordering of the titrations of the active-site residues, Glu-35 and Asp-52, is particularly sensitive to the minimization and sampling protocols used. The balance of strong site-site interactions in the active site suggests a need for including site-site conformational correlations.
本文提出了一种新方法,用于在使用宏观静电模型计算蛋白质氢离子滴定时纳入局部构象灵活性。滴定位点之间的固有pKa值和静电相互作用是根据构象体集合计算得出的,其中滴定侧链的位置会系统地变化。该方法应用于母鸡溶菌酶的天冬氨酸、谷氨酸和酪氨酸残基。研究了单构象体和多构象体计算中不同最小化和/或采样协议的影响。对于单构象体计算,发现结果对全氢与仅含极性氢的原子模型的选择以及所选的最小化协议敏感。使用全氢模型以及两步最小化过程或使用高介电常数进行最小化,单构象体计算与实验的总体一致性最佳。与单构象体计算相比,多构象体计算与实验的一致性显著提高,模型化合物pKa值与计算出的固有pKa值之间的位移略小,并且固有pKa计算对结构初始细节的敏感性降低。这些改进程度取决于构象体生成过程中使用的最小化类型,更广泛的最小化带来更大改进。活性位点残基谷氨酸-35和天冬氨酸-52的滴定顺序对所用最小化和采样协议特别敏感。活性位点中强位点间相互作用的平衡表明需要纳入位点间构象相关性。