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通过逆拉普拉斯变换评估蛋白质的15N弛豫时间。

Evaluation of protein 15N relaxation times by inverse Laplace transformation.

作者信息

Koskela Harri, Kilpeläinen Ilkka, Heikkinen Sami

机构信息

University of Oulu, Department of Chemistry, P.O. Box 3000, FIN-90014 Oulu, Finland.

出版信息

Magn Reson Chem. 2004 Jan;42(1):61-5. doi: 10.1002/mrc.1309.

Abstract

Relaxation times (T1, T2, T1rho) are usually evaluated from exponential decay data by least-squares fitting methods. For this procedure, the integrals or amplitudes of signals must be determined, which can be laborious with large data sets. Moreover, the fitting requires a priori knowledge of the number of exponential components responsible for the decay. We have adapted inverse Laplace transformation (ILT) for the analysis of relaxation data. Exponential components are resolved with ILT to reciprocal space on their corresponding relaxation rate values. The ILT approach was applied to 3D linewidth-resolved 15N HSQC experiments to evaluate 15N T1 and T2 relaxation times of ubiquitin. The resulting spectrum is a true 3D spectrum, where the signals are separated by their 1H and 15N chemical shifts (HSQC correlations) and by their relaxation rate values (R1 or R2). From this spectrum, the relaxation times can be obtained directly with a simple peak-picking procedure.

摘要

弛豫时间(T1、T2、T1rho)通常通过最小二乘法拟合从指数衰减数据中进行评估。对于此过程,必须确定信号的积分或幅度,这对于大数据集来说可能很费力。此外,拟合需要事先了解负责衰减的指数成分的数量。我们已采用逆拉普拉斯变换(ILT)来分析弛豫数据。通过ILT将指数成分在其相应的弛豫率值上解析到倒数空间。将ILT方法应用于3D线宽分辨15N HSQC实验,以评估泛素的15N T1和T2弛豫时间。所得光谱是一个真正的3D光谱,其中信号通过其1H和15N化学位移(HSQC相关性)以及弛豫率值(R1或R2)进行分离。从此光谱中,可以通过简单的峰挑选程序直接获得弛豫时间。

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