Department of Biochemistry, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland.
Protein Sci. 2012 Sep;21(9):1298-314. doi: 10.1002/pro.2117.
A multidisciplinary approach based on molecular dynamics (MD) simulations using homology models, NMR spectroscopy, and a variety of biophysical techniques was used to efficiently improve the thermodynamic stability of armadillo repeat proteins (ArmRPs). ArmRPs can form the basis of modular peptide recognition and the ArmRP version on which synthetic libraries are based must be as stable as possible. The 42-residue internal Arm repeats had been designed previously using a sequence-consensus method. Heteronuclear NMR revealed unfavorable interactions present at neutral but absent at high pH. Two lysines per repeat were involved in repulsive interactions, and stability was increased by mutating both to glutamine. Five point mutations in the capping repeats were suggested by the analysis of positional fluctuations and configurational entropy along multiple MD simulations. The most stabilizing single C-cap mutation Q240L was inferred from explicit solvent MD simulations, in which water penetrated the ArmRP. All mutants were characterized by temperature- and denaturant-unfolding studies and the improved mutants were established as monomeric species with cooperative folding and increased stability against heat and denaturant. Importantly, the mutations tested resulted in a cumulative decrease of flexibility of the folded state in silico and a cumulative increase of thermodynamic stability in vitro. The final construct has a melting temperature of about 85°C, 14.5° higher than the starting sequence. This work indicates that in silico studies in combination with heteronuclear NMR and other biophysical tools may provide a basis for successfully selecting mutations that rapidly improve biophysical properties of the target proteins.
基于分子动力学 (MD) 模拟的多学科方法,使用同源建模、NMR 光谱和各种生物物理技术,可有效地提高犰狳重复蛋白 (ArmRP) 的热力学稳定性。ArmRPs 可以作为模块化肽识别的基础,而基于合成文库的 ArmRP 版本必须尽可能稳定。先前使用序列一致性方法设计了 42 个残基的内部 Arm 重复序列。异核 NMR 显示中性时存在不利相互作用,但在高 pH 值时不存在。每个重复序列有两个赖氨酸参与排斥相互作用,通过将两者突变为谷氨酰胺可以增加稳定性。通过对多个 MD 模拟中的位置波动和构象熵进行分析,建议在盖帽重复序列中进行 5 个点突变。从明确溶剂 MD 模拟中推断出最稳定的单个 C 帽突变 Q240L,在该模拟中,水渗透到 ArmRP 中。所有突变体都通过温度和变性剂展开研究进行了表征,并且改善的突变体被建立为单体物种,具有协同折叠和增加对热和变性剂的稳定性。重要的是,测试的突变导致折叠状态的灵活性在计算机上的累积降低和体外热力学稳定性的累积增加。最终的构建体的熔点约为 85°C,比起始序列高 14.5°C。这项工作表明,计算机研究与异核 NMR 和其他生物物理工具相结合,可能为成功选择突变提供基础,这些突变可以快速改善目标蛋白质的生物物理性质。