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本文引用的文献

1
Void distributions reveal structural link between jammed packings and protein cores.空隙分布揭示了堆积包合物和蛋白质核心之间的结构联系。
Phys Rev E. 2019 Feb;99(2-1):022416. doi: 10.1103/PhysRevE.99.022416.
2
Comparing side chain packing in soluble proteins, protein-protein interfaces, and transmembrane proteins.比较可溶性蛋白、蛋白-蛋白界面和跨膜蛋白中的侧链堆积。
Proteins. 2018 May;86(5):581-591. doi: 10.1002/prot.25479. Epub 2018 Feb 26.
3
Critical assessment of methods of protein structure prediction (CASP)-Round XII.蛋白质结构预测方法的关键评估(CASP)——第十二轮。
Proteins. 2018 Mar;86 Suppl 1(Suppl 1):7-15. doi: 10.1002/prot.25415. Epub 2017 Dec 15.
4
Comparison of NMR and crystal structures of membrane proteins and computational refinement to improve model quality.膜蛋白的核磁共振(NMR)结构与晶体结构比较以及用于提高模型质量的计算优化
Proteins. 2018 Jan;86(1):57-74. doi: 10.1002/prot.25402. Epub 2017 Nov 8.
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Steric interactions determine side-chain conformations in protein cores.空间相互作用决定了蛋白质核心区域的侧链构象。
Protein Eng Des Sel. 2016 Sep;29(9):367-376. doi: 10.1093/protein/gzw027. Epub 2016 Jul 14.
6
Random close packing in protein cores.蛋白质核心的随机密堆积。
Phys Rev E. 2016 Mar;93(3):032415. doi: 10.1103/PhysRevE.93.032415. Epub 2016 Mar 28.
7
A community resource of experimental data for NMR / X-ray crystal structure pairs.一个用于核磁共振/ X射线晶体结构对的实验数据社区资源。
Protein Sci. 2016 Jan;25(1):30-45. doi: 10.1002/pro.2774. Epub 2015 Sep 22.
8
Protein NMR structures refined with Rosetta have higher accuracy relative to corresponding X-ray crystal structures.用 Rosetta 进行结构精修的蛋白质 NMR 结构相对于相应的 X 射线晶体结构具有更高的准确性。
J Am Chem Soc. 2014 Feb 5;136(5):1893-906. doi: 10.1021/ja409845w. Epub 2014 Jan 23.
9
Accessing protein conformational ensembles using room-temperature X-ray crystallography.利用室温 X 射线晶体学获取蛋白质构象组。
Proc Natl Acad Sci U S A. 2011 Sep 27;108(39):16247-52. doi: 10.1073/pnas.1111325108. Epub 2011 Sep 14.
10
Systematic comparison of crystal and NMR protein structures deposited in the protein data bank.对蛋白质数据库中所存晶体结构和核磁共振蛋白质结构的系统比较。
Open Biochem J. 2010 Sep 3;4:83-95. doi: 10.2174/1874091X01004010083.

对蛋白质核心的分析揭示了溶液和晶体结构之间的根本差异。

Analyses of protein cores reveal fundamental differences between solution and crystal structures.

机构信息

Integrated Graduate Program in Physical & Engineering Biology, Yale University, New Haven, Connecticut.

Department of Chemistry, Yale University, New Haven, Connecticut.

出版信息

Proteins. 2020 Sep;88(9):1154-1161. doi: 10.1002/prot.25884. Epub 2020 Mar 5.

DOI:10.1002/prot.25884
PMID:32105366
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7415476/
Abstract

There have been several studies suggesting that protein structures solved by NMR spectroscopy and X-ray crystallography show significant differences. To understand the origin of these differences, we assembled a database of high-quality protein structures solved by both methods. We also find significant differences between NMR and crystal structures-in the root-mean-square deviations of the C atomic positions, identities of core amino acids, backbone, and side-chain dihedral angles, and packing fraction of core residues. In contrast to prior studies, we identify the physical basis for these differences by modeling protein cores as jammed packings of amino acid-shaped particles. We find that we can tune the jammed packing fraction by varying the degree of thermalization used to generate the packings. For an athermal protocol, we find that the average jammed packing fraction is identical to that observed in the cores of protein structures solved by X-ray crystallography. In contrast, highly thermalized packing-generation protocols yield jammed packing fractions that are even higher than those observed in NMR structures. These results indicate that thermalized systems can pack more densely than athermal systems, which suggests a physical basis for the structural differences between protein structures solved by NMR and X-ray crystallography.

摘要

已经有几项研究表明,通过 NMR 光谱和 X 射线晶体学解析的蛋白质结构存在显著差异。为了了解这些差异的起源,我们组装了一个由这两种方法解析的高质量蛋白质结构的数据库。我们还发现 NMR 和晶体结构之间存在显著差异——在 C 原子位置的均方根偏差、核心氨基酸的同一性、骨架和侧链二面角以及核心残基的堆积分数。与之前的研究不同,我们通过将蛋白质核心建模为氨基酸形状粒子的堆积来确定这些差异的物理基础。我们发现,我们可以通过改变用于生成堆积的热化程度来调整堆积的堆积分数。对于非热化方案,我们发现平均堆积分数与通过 X 射线晶体学解析的蛋白质结构核心中观察到的堆积分数相同。相比之下,高度热化的堆积生成方案产生的堆积分数甚至高于在 NMR 结构中观察到的堆积分数。这些结果表明,热化系统可以比非热化系统更紧密地堆积,这为通过 NMR 和 X 射线晶体学解析的蛋白质结构之间的结构差异提供了物理基础。