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通过化学位移分析对蛋白质中天冬酰胺和谷氨酰胺侧链酰胺质子进行立体专一性归属。

Stereospecific assignment of the asparagine and glutamine sidechain amide protons in proteins from chemical shift analysis.

作者信息

Harsch Tobias, Schneider Philipp, Kieninger Bärbel, Donaubauer Harald, Kalbitzer Hans Robert

机构信息

Institute of Biophysics and Physical Biochemistry and Centre of Magnetic Resonance in Chemistry and Biomedicine, University of Regensburg, Universitätsstraße 31, 93053, Regensburg, Germany.

出版信息

J Biomol NMR. 2017 Feb;67(2):157-164. doi: 10.1007/s10858-017-0093-x. Epub 2017 Feb 15.

Abstract

Side chain amide protons of asparagine and glutamine residues in random-coil peptides are characterized by large chemical shift differences and can be stereospecifically assigned on the basis of their chemical shift values only. The bimodal chemical shift distributions stored in the biological magnetic resonance data bank (BMRB) do not allow such an assignment. However, an analysis of the BMRB shows, that a substantial part of all stored stereospecific assignments is not correct. We show here that in most cases stereospecific assignment can also be done for folded proteins using an unbiased artificial chemical shift data base (UACSB). For a separation of the chemical shifts of the two amide resonance lines with differences ≥0.40 ppm for asparagine and differences ≥0.42 ppm for glutamine, the downfield shifted resonance lines can be assigned to H and H, respectively, at a confidence level >95%. A classifier derived from UASCB can also be used to correct the BMRB data. The program tool AssignmentChecker implemented in AUREMOL calculates the Bayesian probability for a given stereospecific assignment and automatically corrects the assignments for a given list of chemical shifts.

摘要

无规卷曲肽中天冬酰胺和谷氨酰胺残基的侧链酰胺质子具有较大的化学位移差异,并且仅基于其化学位移值就可以进行立体特异性归属。存储在生物磁共振数据库(BMRB)中的双峰化学位移分布不允许进行这样的归属。然而,对BMRB的分析表明,所有存储的立体特异性归属中有很大一部分是不正确的。我们在此表明,在大多数情况下,使用无偏人工化学位移数据库(UACSB)也可以对折叠蛋白进行立体特异性归属。对于天冬酰胺化学位移差异≥0.40 ppm以及谷氨酰胺化学位移差异≥0.42 ppm的两条酰胺共振线的化学位移分离,向低场移动的共振线可以分别以>95%的置信水平归属为H和H。源自UASCB的分类器也可用于校正BMRB数据。AUREMOL中实现的程序工具AssignmentChecker计算给定立体特异性归属的贝叶斯概率,并自动校正给定化学位移列表的归属。

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