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基于三级结构和二维/三维核欧沃豪斯效应(NOE)数据对蛋白质核磁共振(NMR)共振进行立体专一性归属。

Stereospecific assignments of protein NMR resonances based on the tertiary structure and 2D/3D NOE data.

作者信息

Pristovsek Primoz, Franzoni Lorella

机构信息

National Institute of Chemistry, Laboratory of Biotechnology, P.O. Box 660, Hajdrihova 19, S-1001 Ljubljana, Slovenia.

出版信息

J Comput Chem. 2006 Apr 30;27(6):791-7. doi: 10.1002/jcc.20389.

DOI:10.1002/jcc.20389
PMID:16526035
Abstract

In many cases of protein structure determination by NMR a high-quality structure is required. An important contribution to structural precision is stereospecific assignment of magnetically nonequivalent prochiral methylene and methyl groups, eliminating the need for introducing pseudoatoms and pseudoatom corrections in distance restraint lists. Here, we introduce the stereospecific assignment program that uses the resonance assignment, a preliminary 3D structure and 2D and/or 3D nuclear Overhauser effect spectroscopy peak lists for stereospecific assignment. For each prochiral group the algorithm automatically calculates a score for the two different stereospecific assignment possibilities, taking into account the presence and intensity of the nuclear Overhauser effect (NOE) peaks that are expected from the local environment of each prochiral group (i.e., the close neighbors). The performance of the algorithm has been tested and used on NMR data of alpha-helical and beta-sheet proteins using homology models and/or X-ray structures. The program produced no erroneous stereospecific assignments provided the NOEs were carefully picked and the 3D model was sufficiently accurate. The set of NOE distance restraints produced by nmr2st using the results of the SSA module was superior in generating good-quality ensembles of NMR structures (low deviations from upper limits in conjunction with low root-mean-square-deviation values) in the first round of structure calculations. The program uses a novel approach that employs the entire 3D structure of the protein to obtain stereospecific assignment; it can be used to speed up the NMR structure refinement and to increase the quality of the final NMR ensemble even when no scalar or residual dipolar coupling information is available.

摘要

在许多通过核磁共振确定蛋白质结构的案例中,都需要高质量的结构。对结构精度的一个重要贡献是对磁不等价前手性亚甲基和甲基进行立体专一性归属,从而无需在距离约束列表中引入伪原子和伪原子校正。在此,我们介绍一种立体专一性归属程序,该程序利用共振归属、初步的三维结构以及二维和/或三维核Overhauser效应光谱峰列表进行立体专一性归属。对于每个前手性基团,该算法会自动计算两种不同立体专一性归属可能性的得分,同时考虑到每个前手性基团局部环境(即紧邻基团)预期的核Overhauser效应(NOE)峰的存在和强度。该算法的性能已通过使用同源模型和/或X射线结构,在α螺旋和β折叠蛋白质的核磁共振数据上进行了测试和应用。只要仔细挑选NOE且三维模型足够准确,该程序就不会产生错误的立体专一性归属。在第一轮结构计算中,使用nmr2st利用SSA模块结果生成的NOE距离约束集,在生成高质量的核磁共振结构系综(与上限的低偏差以及低均方根偏差值)方面表现出色。该程序采用了一种新颖的方法,利用蛋白质的完整三维结构来获得立体专一性归属;即使没有标量或剩余偶极耦合信息,它也可用于加速核磁共振结构精修并提高最终核磁共振系综的质量。

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