Isom Daniel G, Sridharan Vishwajith, Dohlman Henrik G
Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina 27599, United States.
Biochemistry. 2016 Jan 26;55(3):534-42. doi: 10.1021/acs.biochem.5b00901. Epub 2016 Jan 6.
Protein folding is governed by a variety of molecular forces including hydrophobic and ionic interactions. Less is known about the molecular determinants of protein stability. Here we used a recently developed computer algorithm (pHinder) to investigate the relationship between buried charge and thermostability. Our analysis revealed that charge networks in the protein core are generally smaller in thermophilic organisms as compared to mesophilic organisms. To experimentally test whether core network size influences protein thermostability, we purified 18 paralogous Ras superfamily GTPases from yeast and determined their melting temperatures (Tm, or temperature at which 50% of the protein is unfolded). This analysis revealed a wide range of Tm values (35-63 °C) that correlated significantly (R = 0.87) with core network size. These results suggest that thermostability depends in part on the arrangement of ionizable side chains within a protein core. An improved capacity to predict protein thermostability may be useful for selecting the best candidates for protein crystallography, the development of protein-based therapeutics, as well as for industrial enzyme applications.
蛋白质折叠受多种分子力的支配,包括疏水相互作用和离子相互作用。关于蛋白质稳定性的分子决定因素,人们了解得较少。在这里,我们使用一种最近开发的计算机算法(pHinder)来研究埋藏电荷与热稳定性之间的关系。我们的分析表明,与嗜温生物相比,嗜热生物蛋白质核心中的电荷网络通常较小。为了通过实验测试核心网络大小是否影响蛋白质热稳定性,我们从酵母中纯化了18种同源的Ras超家族GTP酶,并测定了它们的解链温度(Tm,即50%的蛋白质发生解折叠时的温度)。该分析揭示了广泛的Tm值范围(35-63°C),这些值与核心网络大小显著相关(R = 0.87)。这些结果表明,热稳定性部分取决于蛋白质核心内可电离侧链的排列。提高预测蛋白质热稳定性的能力可能有助于为蛋白质晶体学选择最佳候选物、开发基于蛋白质的治疗方法以及用于工业酶应用。