Zanetti-Polzi Laura, Daidone Isabella, Amadei Andrea
CNR Institute of Nanoscience, Via Campi 213/A, I-41125 Modena, Italy.
Department of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio, I-67010 L'Aquila, Italy.
J Phys Chem B. 2020 Jun 11;124(23):4712-4722. doi: 10.1021/acs.jpcb.0c01752. Epub 2020 Jun 2.
The ionization state of titratable amino acids strongly affects proteins structure and functioning in a large number of biological processes. It is therefore essential to be able to characterize the p of ionizable groups inside proteins and to understand its microscopic determinants in order to gain insights into many functional properties of proteins. A big effort has been devoted to the development of theoretical approaches for the prediction of deprotonation free energies, yet the accurate theoretical/computational calculation of p values is recognized as a current challenge. A methodology based on a hybrid quantum/classical approach is here proposed for the computation of deprotonation free energies. The method is applied to calculate the p of formic acid, methylammonium, and methanethiol, providing results in good agreement with the corresponding experimental estimates. The p is also calculated for aspartic acid and lysine as single residues in solution and for three aspartic/glutamic acids inside a well-characterized protein: hen egg white lysozyme. While for small molecules the method is able to deal with multiple protonation states of all titratable groups, this becomes computationally very expensive for proteins. The calculated p values for the single amino acids (except for the zwitterionic aspartic acid) and inside the protein display a systematic shift with respect to the experimental values that suggests that the fine balance between hydrophobic and polar interactions might be not accurately reproduced by the usual classical force-fields, thus affecting the computation of deprotonation free energies. The calculated p shifts inside the protein are in good agreement with the corresponding experimental ones (within 1 p unit), well reproducing the p changes due to the protein environment even in the case of large p shifts.
可滴定氨基酸的电离状态在大量生物过程中对蛋白质的结构和功能有强烈影响。因此,能够表征蛋白质内部可电离基团的pKa并了解其微观决定因素,对于深入了解蛋白质的许多功能特性至关重要。人们已经投入了大量精力来开发预测去质子化自由能的理论方法,然而,pKa值的精确理论/计算计算被认为是当前的一个挑战。本文提出了一种基于量子/经典混合方法的去质子化自由能计算方法。该方法用于计算甲酸、甲基铵和甲硫醇的pKa,所得结果与相应的实验估计值吻合良好。还计算了溶液中单个残基天冬氨酸和赖氨酸以及一种特征明确的蛋白质——鸡蛋清溶菌酶内部的三个天冬氨酸/谷氨酸的pKa。虽然对于小分子,该方法能够处理所有可滴定基团的多个质子化状态,但对于蛋白质来说,这在计算上非常昂贵。计算得到的单个氨基酸(两性离子形式的天冬氨酸除外)和蛋白质内部的pKa值相对于实验值呈现出系统性的偏移,这表明通常的经典力场可能无法准确再现疏水相互作用和极性相互作用之间的精细平衡,从而影响去质子化自由能的计算。计算得到的蛋白质内部的pKa偏移与相应的实验值吻合良好(在1个pKa单位以内),即使在pKa偏移较大的情况下,也能很好地再现由于蛋白质环境导致的pKa变化。