São Paulo State University (UNESP), Institute of Biosciences, Humanities and Exact Sciences (Ibilce), Campus São José do Rio Preto, Brazil.
São Paulo State University (UNESP), Institute of Biosciences, Humanities and Exact Sciences (Ibilce), Campus São José do Rio Preto, Brazil; Brazilian Bioethanol Science and Technology Laboratory- (CTBE), Campinas, Brazil.
Biophys J. 2018 Jan 9;114(1):65-75. doi: 10.1016/j.bpj.2017.11.012.
The importance of charge-charge interactions in the thermal stability of proteins is widely known. pH and ionic strength play a crucial role in these electrostatic interactions, as well as in the arrangement of ionizable residues in each protein-folding stage. In this study, two coarse-grained models were used to evaluate the effect of pH and salt concentration on the thermal stability of a protein G variant (1PGB-QDD), which was chosen due to the quantity of experimental data exploring these effects on its stability. One of these coarse-grained models, the TKSA, calculates the electrostatic free energy of the protein in the native state via the Tanford-Kirkwood approach for each residue. The other one, CpHMD-SBM, uses a Coulomb screening potential in addition to the structure-based model C. Both models simulate the system in constant pH. The comparison between the experimental stability analysis and the computational results obtained by these simple models showed a good agreement. Through the TKSA method, the role of each charged residue in the protein's thermal stability was inferred. Using CpHMD-SBM, it was possible to evaluate salt and pH effects throughout the folding process. Finally, the computational pK values were calculated by both methods and presented a good level of agreement with the experiments. This study provides, to our knowledge, new information and a comprehensive description of the electrostatic contribution to protein G stability.
电荷-电荷相互作用在蛋白质的热稳定性中起着重要作用。pH 值和离子强度在这些静电相互作用中起着至关重要的作用,同时也在每个蛋白质折叠阶段可离子化残基的排列中起着重要的作用。在这项研究中,使用了两种粗粒模型来评估 pH 值和盐浓度对蛋白质 G 变体(1PGB-QDD)热稳定性的影响。之所以选择这种变体,是因为有大量的实验数据探索了这些因素对其稳定性的影响。其中一种粗粒模型是 TKSA,它通过 Tanford-Kirkwood 方法为每个残基计算天然状态下蛋白质的静电自由能。另一种模型是 CpHMD-SBM,它除了使用基于结构的模型 C 外,还使用了库仑屏蔽势。这两种模型都在恒定 pH 值下模拟系统。实验稳定性分析与这些简单模型得出的计算结果之间的比较显示出很好的一致性。通过 TKSA 方法,可以推断出每个带电残基在蛋白质热稳定性中的作用。使用 CpHMD-SBM,可以评估整个折叠过程中的盐和 pH 值的影响。最后,两种方法都计算了计算出的 pK 值,并与实验结果表现出很好的一致性。据我们所知,这项研究提供了蛋白质 G 稳定性的静电贡献的新信息和综合描述。