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利用核磁共振扩散数据验证无序蛋白质的分子动力学模型:组蛋白H4 N端尾部的测试案例

Using NMR diffusion data to validate MD models of disordered proteins: Test case of N-terminal tail of histone H4.

作者信息

Lebedenko Olga O, Salikov Vladislav A, Izmailov Sergei A, Podkorytov Ivan S, Skrynnikov Nikolai R

机构信息

Laboratory of Biomolecular NMR, St. Petersburg State University, St. Petersburg, Russia.

Laboratory of Biomolecular NMR, St. Petersburg State University, St. Petersburg, Russia; Department of Chemistry, Purdue University, West Lafayette, Indiana.

出版信息

Biophys J. 2024 Jan 2;123(1):80-100. doi: 10.1016/j.bpj.2023.11.020. Epub 2023 Nov 20.

Abstract

MD simulations can provide uniquely detailed models of intrinsically disordered proteins (IDPs). However, these models need careful experimental validation. The coefficient of translational diffusion D, measurable by pulsed field gradient NMR, offers a potentially useful piece of experimental information related to the compactness of the IDP's conformational ensemble. Here, we investigate, both experimentally and via the MD modeling, the translational diffusion of a 25-residue N-terminal fragment from histone H4 (N-H4). We found that the predicted values of D, as obtained from mean-square displacement of the peptide in the MD simulations, are largely determined by the viscosity of the MD water (which has been reinvestigated as a part of our study). Beyond that, our analysis of the diffusion data indicates that MD simulations of N-H4 in the TIP4P-Ew water give rise to an overly compact conformational ensemble for this peptide. In contrast, TIP4P-D and OPC simulations produce the ensembles that are consistent with the experimental D result. These observations are supported by the analyses of the N spin relaxation rates. We also tested a number of empirical methods to predict D based on IDP's coordinates extracted from the MD snapshots. In particular, we show that the popular approach involving the program HYDROPRO can produce misleading results. This happens because HYDROPRO is not intended to predict the diffusion properties of highly flexible biopolymers such as IDPs. Likewise, recent empirical schemes that exploit the relationship between the small-angle x-ray scattering-informed conformational ensembles of IDPs and the respective experimental D values also prove to be problematic. In this sense, the first-principle calculations of D from the MD simulations, such as demonstrated in this work, should provide a useful benchmark for future efforts in this area.

摘要

分子动力学(MD)模拟能够提供关于内在无序蛋白(IDP)独特而详细的模型。然而,这些模型需要经过仔细的实验验证。通过脉冲场梯度核磁共振可测量的平移扩散系数D,提供了与IDP构象集合紧凑性相关的潜在有用实验信息。在此,我们通过实验和MD建模研究了组蛋白H4的25个残基N端片段(N-H4)的平移扩散。我们发现,从MD模拟中肽段的均方位移获得的D预测值,在很大程度上取决于MD水的粘度(作为我们研究的一部分,对此进行了重新研究)。除此之外,我们对扩散数据的分析表明,在TIP4P-Ew水中对N-H4进行的MD模拟产生了该肽过度紧凑的构象集合。相比之下,TIP4P-D和OPC模拟产生的构象集合与实验D结果一致。这些观察结果得到了N自旋弛豫率分析的支持。我们还测试了许多基于从MD快照中提取的IDP坐标来预测D的经验方法。特别是,我们表明涉及HYDROPRO程序的常用方法可能会产生误导性结果。这是因为HYDROPRO并非旨在预测高度灵活的生物聚合物(如IDP)的扩散特性。同样,最近利用IDP的小角X射线散射信息构象集合与各自实验D值之间关系的经验方案也被证明存在问题。从这个意义上讲,如本工作所示的从MD模拟中对D进行的第一性原理计算,应为该领域未来的研究提供有用的基准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb5/10808029/c8580f82885f/fx1.jpg

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