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Refinement of Peptide Conformational Ensembles by 2D IR Spectroscopy: Application to Ala‒Ala‒Ala

机译:二维红外光谱法细化肽构象集合体:在丙氨酸‒丙氨酸中的应用

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摘要

Characterizing ensembles of intrinsically disordered proteins is experimentally challenging because of the ill-conditioned nature of ensemble determination with limited data and the intrinsic fast dynamics of the conformational ensemble. Amide I two-dimensional infrared (2D IR) spectroscopy has picosecond time resolution to freeze structural ensembles as needed for probing disordered-protein ensembles and conformational dynamics. Also, developments in amide I computational spectroscopy now allow a quantitative and direct prediction of amide I spectra based on conformational distributions drawn from molecular dynamics simulations, providing a route to ensemble refinement against experimental spectra. We performed a Bayesian ensemble refinement method on Ala–Ala–Ala against isotope-edited Fourier-transform infrared spectroscopy and 2D IR spectroscopy and tested potential factors affecting the quality of ensemble refinements. We found that isotope-edited 2D IR spectroscopy provides a stringent constraint on Ala–Ala–Ala conformations and returns consistent conformational ensembles with the dominant ppII conformer across varying prior distributions from many molecular dynamics force fields and water models. The dominant factor influencing ensemble refinements is the systematic frequency uncertainty from spectroscopic maps. However, the uncertainty of conformer populations can be significantly reduced by incorporating 2D IR spectra in addition to traditional Fourier-transform infrared spectra. Bayesian ensemble refinement against isotope-edited 2D IR spectroscopy thus provides a route to probe equilibrium-complex protein ensembles and potentially nonequilibrium conformational dynamics.
机译:由于具有有限数据的集合测定的不良条件性质以及构象集合的固有快速动力学,表征固有紊乱的蛋白质的集合在实验上具有挑战性。酰胺I二维红外(2D IR)光谱仪具有皮秒级的时间分辨率,可以根据需要冻结结构体,以探测无序蛋白体和构象动力学。而且,酰胺I计算光谱学的发展现在可以基于分子动力学模拟得出的构象分布对酰胺I光谱进行定量和直接预测,从而提供了针对实验光谱进行整体精炼的途径。我们在Ala–Ala–Ala上对同位素编辑的Fourier变换红外光谱和2D IR光谱进行了贝叶斯集成优化,并测试了影响集成质量的潜在因素。我们发现,同位素编辑的2D红外光谱技术对Ala–Ala–Ala构象提供了严格的约束条件,并在许多分子动力学力场和水模型的不同先验分布范围内,返回了具有优势ppII构象的一致构象集合。影响整体优化的主要因素是光谱图的系统频率不确定性。但是,除了传统的傅立叶变换红外光谱外,还可以通过合并二维红外光谱来显着降低构象体总体的不确定性。因此,针对同位素编辑的2D红外光谱的贝叶斯集成优化提供了一种探索平衡-复杂蛋白质集合和潜在的非平衡构象动力学的途径。

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