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首页> 外文期刊>Journal of Molecular Biology >EFFECTS OF EXPERIMENTALLY ACHIEVABLE IMPROVEMENTS IN THE QUALITY OF NMR DISTANCE CONSTRAINTS ON THE ACCURACY OF CALCULATED PROTEIN STRUCTURES
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EFFECTS OF EXPERIMENTALLY ACHIEVABLE IMPROVEMENTS IN THE QUALITY OF NMR DISTANCE CONSTRAINTS ON THE ACCURACY OF CALCULATED PROTEIN STRUCTURES

机译:实验上可改进的NMR距离约束质量对计算的蛋白质结构准确性的影响

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New methods for collecting cross-relaxation data from proteins and nucleic acids make it possible to improve the accuracy and precision of interproton distance measurements used as input for NMR solution structure determinations. It thus is of interest to determine whether such experimentally achievable improvements in input distance constraints have significant effects on the precision and accuracy of the resulting structures. To answer this question, we have turned to a computational procedure involving the use of data simulated from a known structure, in order to allow unambiguous assessments of accuracy The approach to improved distances evaluated here is that afforded by magnetization exchange network editing (MENE); MENE pulse sequences break the network of cross-relaxation interactions into regions that are manipulated so as to defeat certain spin-diffusion terms. A target structure was prepared from the X-ray structure of a small protein, turkey ovomucoid third domain (OMTKY3). A normal NOESY spectrum and two varieties of MENE spectra, BD-NOESY and CBD-NOESY, were simulated by means of complete relaxation matrix analysis. These results were used to create different input data sets with the same number of constraints (perfectly accurate distances derived from the target structure, more accurate distances derived from the MENE simulations, and less accurate distances derived from the NOESY simulation), and these, interpreted at different levels of precision, were used as input for solution structure calculations. The results showed that the use of more precise input data measurably improves the local precision and accuracy of calculated structures, but only if the more precise data include the actual target distance. Incorporation of the experimentally achievable, accurate distances with higher precision afforded by the MENE pulse sequences into the set of input distances was found to improve the accuracy of the resulting structures, particularly in terms of side-chain conformation. (C) 1996 Academic Press Limited [References: 33]
机译:从蛋白质和核酸中收集交叉松弛数据的新方法,有可能提高用作NMR溶液结构测定输入的质子间距离测量的准确性和精确度。因此,有兴趣确定输入距离约束的这种实验上可实现的改进是否对所得结构的精度和准确性产生重大影响。为了回答这个问题,我们转向了一种计算过程,该过程涉及使用从已知结构模拟的数据,以便进行准确的准确性评估。此处评估的改进距离的方法是磁化交换网络编辑(MENE)提供的方法; MENE脉冲序列将交叉松弛相互作用的网络分解为可操纵的区域,从而击败了某些自旋扩散项。由小蛋白,土耳其卵类粘蛋白第三结构域(OMTKY3)的X射线结构制备了目标结构。通过完全弛豫矩阵分析,模拟了正常的NOESY谱和两种MENE谱,BD-NOESY和CBD-NOESY。这些结果用于创建具有相同数量约束的不同输入数据集(从目标结构得出的精确距离,从MENE模拟得出的更精确距离和从NOESY模拟得出的较不精确距离),并且将这些结果解释为在不同精度级别上,它们被用作解决方案结构计算的输入。结果表明,使用更精确的输入数据可显着提高局部精度和计算结构的精度,但前提是更精确的数据包括实际目标距离。发现将由MENE脉冲序列提供的实验上可达到的准确距离与更高的精度合并到一组输入距离中,可以改善所得结构的准确性,特别是在侧链构象方面。 (C)1996 Academic Press Limited [参考号:33]

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