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Optimized detectors for dynamics analysis in solid-state NMR
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DOI：10.1063/1.5013316.png)
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摘要
En 中文
Relaxation in nuclear magnetic resonance (NMR) results from stochastic motions that modulate anisotropic NMR interactions. Therefore, measurement of relaxation-rate constants can be used to characterize molecular-dynamic processes. The motion is often characterized by Markov processes using an auto-correlation function, which is assumed to be a sum of multiple decaying exponentials. We have recently shownthat such a model can lead to severe misrepresentation of the real motion, when the real correlation function is more complex than the model. Furthermore, multiple distributions of motion may yield the same set of dynamics data. Therefore, we introduce optimized dynamics detectors to characterize motions which are linear combinations of relaxation-rate constants. A detector estimates the average or total amplitude of motion for a range of motional correlation times. The information obtained through the detectors is less specific than information obtained using an explicit model, but this is necessary because the information contained in the relaxation data is ambiguous, if one does not know the correct motional model. On the other hand, if one has a molecular dynamics trajectory, one may calculate the corresponding detector responses, allowing direct comparison to experimental NMR dynamics analysis. We describe how to construct a set of optimized detectors for a given set of relaxation measurements. We then investigate the properties of detectors for a number of different data sets, thus gaining an insight into the actual information content of the NMR data. Finally, we show an example analysis of ubiquitin dynamics data using detectors, using the DIFRATE software. Published by AIP Publishing.
Keyword:
MODEL-FREE APPROACH
MAGNETIC-RESONANCE RELAXATION
PROTEIN BACKBONE DYNAMICS
NUCLEAR-SPIN RELAXATION
LATTICE-RELAXATION
MOLECULAR-DYNAMICS
FORCE-FIELDS
MACROMOLECULES
SPECTROSCOPY
MOTIONS
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期刊
IF:
3.1
论文数:
7.2W
被引数:
23.2W
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引用论文
SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and
Crosslingual Focused EvaluationSemEval-2017任务1: 语义文本相似性多语言和
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OAAI分享收藏Distribution of Pico- and Nanosecond Motions in Disordered Proteins from Nuclear Spin Relaxation.png)
BIOPHYSICAL JOURNALOAAI
BIOPHYSICAL JOURNALIF3.1
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