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Accurate ab initio prediction of NMR chemical shifts of nucleic acids and nucleic acids/protein complexes

机译:准确的从头开始预测核酸和核酸/蛋白质复合物的NMR化学位移

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摘要

NMR chemical shift predictions based on empirical methods are nowadays indispensable tools during resonance assignment and 3D structure calculation of proteins. However, owing to the very limited statistical data basis, such methods are still in their infancy in the field of nucleic acids, especially when non-canonical structures and nucleic acid complexes are considered. Here, we present an ab initio approach for predicting proton chemical shifts of arbitrary nucleic acid structures based on state-of-the-art fragment-based quantum chemical calculations. We tested our prediction method on a diverse set of nucleic acid structures including double-stranded DNA, hairpins, DNA/protein complexes and chemically-modified DNA. Overall, our quantum chemical calculations yield highly/very accurate predictions with mean absolute deviations of 0.3–0.6 ppm and correlation coefficients (r2) usually above 0.9. This will allow for identifying misassignments and validating 3D structures. Furthermore, our calculations reveal that chemical shifts of protons involved in hydrogen bonding are predicted significantly less accurately. This is in part caused by insufficient inclusion of solvation effects. However, it also points toward shortcomings of current force fields used for structure determination of nucleic acids. Our quantum chemical calculations could therefore provide input for force field optimization.
机译:如今,基于经验方法的NMR化学位移预测是蛋白质共振分配和3D结构计算中必不可少的工具。然而,由于非常有限的统计数据基础,这种方法在核酸领域仍处于起步阶段,特别是在考虑非规范结构和核酸复合物时。在这里,我们提出了一种从头开始的方法,该方法可基于基于片段的最新量子化学计算来预测任意核酸结构的质子化学位移。我们在多种核酸结构上测试了我们的预测方法,这些结构包括双链DNA,发夹,DNA /蛋白质复合物和化学修饰的DNA。总体而言,我们的量子化学计算可得出高度/非常准确的预测,平均绝对偏差为0.3-0.6 ppm,并且相关系数(r 2 )通常高于0.9。这将允许识别错误分配并验证3D结构。此外,我们的计算表明,与氢键有关的质子的化学位移预测的准确性明显较低。这部分是由于未充分包含溶剂化作用引起的。但是,这也指出了用于核酸结构确定的电流场的缺点。因此,我们的量子化学计算可以为力场优化提供输入。

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