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本文引用的文献

1
The challenge of protein structure determination--lessons from structural genomics.蛋白质结构测定的挑战——来自结构基因组学的经验教训。
Protein Sci. 2007 Nov;16(11):2472-82. doi: 10.1110/ps.073037907.
2
The use of differential scanning fluorimetry to detect ligand interactions that promote protein stability.使用差示扫描荧光法检测促进蛋白质稳定性的配体相互作用。
Nat Protoc. 2007;2(9):2212-21. doi: 10.1038/nprot.2007.321.
3
The Photosynthetic Reaction Center from the Purple Bacterium Rhodopseudomonas viridis.来自绿硫菌的光合反应中心。
Science. 1989 Sep 29;245(4925):1463-73. doi: 10.1126/science.245.4925.1463.
4
Protein crystallization by surface entropy reduction: optimization of the SER strategy.通过表面熵降低进行蛋白质结晶:表面熵降低策略的优化
Acta Crystallogr D Biol Crystallogr. 2007 May;63(Pt 5):636-45. doi: 10.1107/S0907444907010931. Epub 2007 Apr 21.
5
An approach to crystallizing proteins by synthetic symmetrization.一种通过合成对称化使蛋白质结晶的方法。
Proc Natl Acad Sci U S A. 2006 Oct 31;103(44):16230-5. doi: 10.1073/pnas.0607674103. Epub 2006 Oct 18.
6
A normalised scale for structural genomics target ranking: the OB-Score.一种用于结构基因组学靶点排名的标准化量表:OB评分。
FEBS Lett. 2006 Jul 10;580(16):4005-9. doi: 10.1016/j.febslet.2006.06.015. Epub 2006 Jun 16.
7
Entropy and surface engineering in protein crystallization.蛋白质结晶中的熵与表面工程
Acta Crystallogr D Biol Crystallogr. 2006 Jan;62(Pt 1):116-24. doi: 10.1107/S0907444905035237. Epub 2005 Dec 14.
8
Robotic cloning and Protein Production Platform of the Northeast Structural Genomics Consortium.东北结构基因组学联盟的机器人克隆与蛋白质生产平台
Methods Enzymol. 2005;394:210-43. doi: 10.1016/S0076-6879(05)94008-1.
9
Addressing the intrinsic disorder bottleneck in structural proteomics.解决结构蛋白质组学中的内在无序瓶颈问题。
Proteins. 2005 May 15;59(3):444-53. doi: 10.1002/prot.20446.
10
Protein biophysical properties that correlate with crystallization success in Thermotoga maritima: maximum clustering strategy for structural genomics.与嗜热栖热菌结晶成功相关的蛋白质生物物理特性:结构基因组学的最大聚类策略。
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通过分析大规模实验数据来理解控制蛋白质结晶的物理性质。

Understanding the physical properties that control protein crystallization by analysis of large-scale experimental data.

作者信息

Price W Nicholson, Chen Yang, Handelman Samuel K, Neely Helen, Manor Philip, Karlin Richard, Nair Rajesh, Liu Jinfeng, Baran Michael, Everett John, Tong Saichiu N, Forouhar Farhad, Swaminathan Swarup S, Acton Thomas, Xiao Rong, Luft Joseph R, Lauricella Angela, DeTitta George T, Rost Burkhard, Montelione Gaetano T, Hunt John F

机构信息

Northeast Structural Genomics Consortium, Columbia University, New York, New York 10027, USA.

出版信息

Nat Biotechnol. 2009 Jan;27(1):51-7. doi: 10.1038/nbt.1514.

DOI:10.1038/nbt.1514
PMID:19079241
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2746436/
Abstract

Crystallization is the most serious bottleneck in high-throughput protein-structure determination by diffraction methods. We have used data mining of the large-scale experimental results of the Northeast Structural Genomics Consortium and experimental folding studies to characterize the biophysical properties that control protein crystallization. This analysis leads to the conclusion that crystallization propensity depends primarily on the prevalence of well-ordered surface epitopes capable of mediating interprotein interactions and is not strongly influenced by overall thermodynamic stability. We identify specific sequence features that correlate with crystallization propensity and that can be used to estimate the crystallization probability of a given construct. Analyses of entire predicted proteomes demonstrate substantial differences in the amino acid-sequence properties of human versus eubacterial proteins, which likely reflect differences in biophysical properties, including crystallization propensity. Our thermodynamic measurements do not generally support previous claims regarding correlations between sequence properties and protein stability.

摘要

结晶是通过衍射方法进行高通量蛋白质结构测定中最严重的瓶颈。我们利用东北结构基因组学联盟的大规模实验结果进行数据挖掘以及实验性折叠研究,来表征控制蛋白质结晶的生物物理特性。该分析得出的结论是,结晶倾向主要取决于能够介导蛋白质间相互作用的有序表面表位的普遍性,而不受整体热力学稳定性的强烈影响。我们确定了与结晶倾向相关且可用于估计给定构建体结晶概率的特定序列特征。对整个预测蛋白质组的分析表明,人类蛋白质与真细菌蛋白质的氨基酸序列特性存在显著差异,这可能反映了包括结晶倾向在内的生物物理特性的差异。我们的热力学测量结果一般不支持先前关于序列特性与蛋白质稳定性之间相关性的说法。