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CryoEM Structure Refinement by Integrating NMR Chemical Shifts with Molecular Dynamics Simulations.

机译:通过将NMR化学位移与分子动力学模拟相结合来优化CryoEM结构。

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摘要

Single particle cryoEM has emerged as a powerful method for structure determination of proteins and complexes, complementing X-ray crystallography and NMR spectroscopy. Yet, for many systems, the resolution of cryoEM density map has been limited to 4-6 Å, which only allows for resolving bulky amino acids side chains, thus hindering accurate model building from the density map. On the other hand, experimental chemical shifts (CS) from solution and solid state MAS NMR spectra provide atomic level data for each amino acid within a molecule or a complex; however, structure determination of large complexes and assemblies based on NMR data alone remains challenging. Here, we present a novel integrated strategy to combine the highly complementary experimental data from cryoEM and NMR computationally by molecular dynamics simulations to derive an atomistic model, which is not attainable by either approach alone. We use the HIV-1 capsid protein (CA) C-terminal domain as well as the large capsid assembly to demonstrate the feasibility of this approach, termed NMR CS-biased cryoEM structure refinement.
机译:单颗粒cryoEM已成为一种功能强大的蛋白质和复合物结构测定方法,可补充X射线晶体学和NMR光谱学。然而,对于许多系统而言,cryoEM密度图的分辨率已被限制为4-6Å,这仅允许解析庞大的氨基酸侧链,从而阻碍了密度图的精确建模。另一方面,来自溶液和固态MAS NMR光谱的实验化学位移(CS)提供了分子或复合物中每个氨基酸的原子能级数据。然而,仅基于NMR数据确定大型配合物和组装体的结构仍然具有挑战性。在这里,我们提出了一种新颖的集成策略,可以通过分子动力学模拟将来自cryoEM和NMR的高度互补的实验数据进行组合,以得出原子模型,这是任何一种方法都无法实现的。我们使用HIV-1衣壳蛋白(CA)C末端结构域以及大衣壳装配体来证明这种方法的可行性,这种方法称为NMR CS-biased cryoEM结构优化。

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