A reference dataset for circular dichroism spectroscopy tailored for the βγ-crystallin lens proteins
A reference dataset for circular dichroism spectroscopy tailored for the βγ-crystallin lens proteins
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DOI：
10.1016/j.exer.2007.01.016
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发表时间：
2007-05-01
影响因子：
3.4
通讯作者：
Wallace, B. A.
中科院分区：
文献类型：
--
作者：
Evans, P.;Bateman, O. A.;Wallace, B. A.
圆二色性（CD）光谱是研究蛋白质二级结构的一种强有力的解决方法。对高质量晶体同步辐射圆二色性（SRCD）光谱数据进行分层欧几里得聚类分析，可以仅根据光谱信息将其划分为不同的结构组，从而可以更准确地确定晶体蛋白的二级结构和监测晶体蛋白的构象变化。二级结构估计可以通过使用参考数据集的圆二色光谱的蛋白质确定晶体结构。与任何经验方法一样，分析的准确性取决于参考数据集特征与待研究蛋白质特征的匹配程度。迄今为止，由于现有的参考数据集不包含其结构特征的良好表征，晶体蛋白尚未被CD很好地分析。这项工作描述了一个β - γ -晶体蛋白特异性参考数据集，CRYST175，这是专门为研究β - γ -晶体蛋白二级结构而创建的。使用几种反卷积算法评估新数据集的预测精度，发现它大大优于现有的更一般的参考数据集。(C) 2007 Elsevier Ltd.版权所有。
Circular dichroism (CD) spectroscopy is a powerful solution technique for the study of protein secondary structure. As hierarchical euclidean clustering analyses of high quality crystallin synchrotron radiation circular dichroism (SRCD) spectral data can be separated into structural groups based solely on spectral information, the technique can potentially be improved to more accurately determine secondary structures and monitor conformational changes in crystallins. Secondary structure estimates can be determined through use of reference datasets of circular dichroism spectra from proteins with determined crystal structures. As with any empirical method, the accuracies of the analyses are dependent upon how closely the reference dataset characteristics match those of the protein to be studied. To date, crystallin proteins have not been well analysed by CD because existing reference datasets do not contain good representations of their structural characteristics. This work describes a beta gamma-crystallin specific reference dataset, CRYST175, which was created solely for the study of beta gamma-crystallin secondary structures. Prediction accuracy was assessed for the new dataset using several deconvolution algorithms and it was found to substantially outperform existing more general reference datasets. (C) 2007 Elsevier Ltd. All rights reserved.