铜绿假单胞菌自旋标记(T21R1) azurin的高分辨率晶体结构:一个具有挑战性的自旋标记算法的结构基准

Q3 Biochemistry, Genetics and Molecular Biology BMC Structural Biology Pub Date : 2014-05-29 DOI:10.1186/1472-6807-14-16
Nicole Florin, Olav Schiemann, Gregor Hagelueken
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引用次数: 12

摘要

基于epr的蛋白质自旋标记之间的距离测量已经成为结构生物学中有价值的工具。然而,将实验距离直接转化为结构信息常常受到自旋标记侧链固有柔韧性的影响。存在不同的算法,通过使用预先计算的标记侧链的旋转体库(旋转体方法)或通过简单地确定其可达体积(可达体积方法)来预测自旋标签的近似构象。令人惊讶的是,与许多实验距离的比较表明,两种方法都提供了相同的距离预测精度,约为3 ?在这里,我们不是比较预测距离和实验距离,而是测试两种方法预测自旋标记azurin (T21R1)的高分辨率晶体结构中发现的自旋标记的实际构象的能力。在晶体内部,标签是在两个非常不同的环境中发现的,这对硅方法来说是一个具有挑战性的测试。我们的结果说明了为什么简单和更复杂的程序会导致相同的预测误差。因此,需要更精确地处理标签的完整环境及其与环境的相互作用,以提高硅自旋标签算法的准确性。
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High-resolution crystal structure of spin labelled (T21R1) azurin from Pseudomonas aeruginosa: a challenging structural benchmark for in silico spin labelling algorithms

EPR-based distance measurements between spin labels in proteins have become a valuable tool in structural biology. The direct translation of the experimental distances into structural information is however often impaired by the intrinsic flexibility of the spin labelled side chains. Different algorithms exist that predict the approximate conformation of the spin label either by using pre-computed rotamer libraries of the labelled side chain (rotamer approach) or by simply determining its accessible volume (accessible volume approach). Surprisingly, comparisons with many experimental distances have shown that both approaches deliver the same distance prediction accuracy of about 3 ?.

Here, instead of comparing predicted and experimental distances, we test the ability of both approaches to predict the actual conformations of spin labels found in a new high-resolution crystal structure of spin labelled azurin (T21R1). Inside the crystal, the label is found in two very different environments which serve as a challenging test for the in silico approaches.

Our results illustrate why simple and more sophisticated programs lead to the same prediciton error. Thus, a more precise treatment of the complete environment of the label and also its interactions with the environment will be needed to increase the accuracy of in silico spin labelling algorithms.

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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: BMC Structural Biology is an open access, peer-reviewed journal that considers articles on investigations into the structure of biological macromolecules, including solving structures, structural and functional analyses, and computational modeling.
期刊最新文献
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