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Optimization of designed armadillo repeat proteins by molecular dynamics simulations and NMR spectroscopy

机译:通过分子动力学模拟和NMR光谱法优化设计的犰狳重复蛋白

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摘要

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.
机译:基于分子动力学(MD)模拟的多学科方法,使用同源性模型,NMR光谱和多种生物物理技术,可以有效地提高犰狳重复蛋白(ArmRPs)的热力学稳定性。 ArmRP可以构成模块化肽段识别的基础,合成库所基于的ArmRP版本必须尽可能稳定。 42个残基的内部Arm重复序列先前已使用序列共有方法进行了设计。核磁共振NMR显示中性时存在不利的相互作用,但在高pH下则不存在。每个重复两个赖氨酸参与排斥相互作用,并且通过将两者突变为谷氨酰胺来增加稳定性。通过沿多个MD模拟的位置波动和构型熵分析,提出了封端重复序列中的五个点突变。最稳定的单个C帽突变Q240L是从显式溶剂MD模拟推论得出的,其中水渗透到ArmRP中。通过温度和变性剂展开研究对所有突变体进行了表征,并将改良的突变体确定为具有协同折叠并提高了对热和变性剂稳定性的单体物种。重要的是,所测试的突变导致折叠状态在计算机中的柔性累积下降,并且在体外热力学稳定性累积增加。最终的构建体具有约85℃的解链温度,比起始序列高14.5°。这项工作表明与异核NMR和其他生物物理工具相结合的计算机模拟研究可以为成功选择能够快速改善靶蛋白生物物理特性的突变提供基础。

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