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蛋白质主链扭转角分析:天然和无规卷曲构象的核磁共振耦合常数预测

Analysis of main chain torsion angles in proteins: prediction of NMR coupling constants for native and random coil conformations.

作者信息

Smith L J, Bolin K A, Schwalbe H, MacArthur M W, Thornton J M, Dobson C M

机构信息

Oxford Centre for Molecular Sciences, University of Oxford, U.K.

出版信息

J Mol Biol. 1996 Jan 26;255(3):494-506. doi: 10.1006/jmbi.1996.0041.

Abstract

Using a data base of 85 high resolution protein crystal structures the distributions of main chain torsion angles, both in secondary structure and in coil regions where no secondary structure is present, have been analysed. These torsion angle distributions have been used to predict NMR homonuclear and heteronuclear coupling constants for residues in secondary structure using known Karplus relationships. For alpha helices, 3(10) helices and beta strands mean predicted 3JHN alpha coupling constants are 4.8, 5.6 and 8.5 Hz, respectively. These values differ significantly from those expected for the ideal phi angles (3.9, 3.0 and 8.9 Hz; phi = -57 degrees, -49 degrees, -139 degrees for alpha and 3(10) helices and beta strands (antiparallel), respectively) in regular secondary structure, but agree well with available experimental NMR data for nine proteins. The crystallographic data set has also been used to provide a basis for interpreting coupling constants measured for peptides and denatured proteins. Using a model for a random coil, in which all residues adopt distributions of phi, psi angles equivalent to those seen for residues in the coil regions of native folded proteins, predicted 3JHN alpha values for different residue types have been found to range from 5.9 Hz and 6.1 Hz for glycine and alanine, respectively, to 7.7 Hz for valine. A good correlation has been found between the predicted 3JHN alpha coupling constants for this model and experimental values for a set of peptides that other evidence suggest are highly unstructured. For other peptides, however, deviations from the predictions of the model are clear and provide evidence for additional interactions within otherwise disordered states. The values of homonuclear and heteronuclear coupling constants derived from the protein data base listed here therefore provide a basis not only for analysing the secondary structure of native proteins in solution but for assessing and interpreting the extent of structure present in peptides and non-native states of proteins.

摘要

利用一个包含85个高分辨率蛋白质晶体结构的数据库,分析了二级结构以及不存在二级结构的卷曲区域中主链扭转角的分布。这些扭转角分布已被用于根据已知的卡尔普斯关系预测二级结构中残基的核磁共振同核和异核耦合常数。对于α螺旋、3(10)螺旋和β链,预测的平均3JHNα耦合常数分别为4.8、5.6和8.5Hz。这些值与规则二级结构中理想φ角(分别为3.9、3.0和8.9Hz;α螺旋、3(10)螺旋和β链(反平行)的φ = -57°、-49°、-139°)所预期的值有显著差异,但与九种蛋白质的现有实验核磁共振数据吻合良好。晶体学数据集也被用于为解释肽和变性蛋白质测得的耦合常数提供基础。使用一个随机卷曲模型,其中所有残基采用的φ、ψ角分布与天然折叠蛋白质卷曲区域中残基的分布相同,已发现不同残基类型的预测3JHNα值范围从甘氨酸的5.9Hz和丙氨酸的6.1Hz到缬氨酸的7.7Hz。对于一组其他证据表明高度无结构的肽,已发现该模型预测的3JHNα耦合常数与实验值之间有良好的相关性。然而,对于其他肽,与模型预测的偏差很明显,这为无序状态下的额外相互作用提供了证据。因此,此处列出的从蛋白质数据库得出的同核和异核耦合常数的值不仅为分析溶液中天然蛋白质的二级结构提供了基础,也为评估和解释肽和蛋白质非天然状态中存在的结构程度提供了基础。

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