Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.7K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.7K
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

1.1K
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
1.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Iterative Modeling via Structural Diffusion (IMSD): Exploring Fold-Switching Pathways in Metamorphic Proteins Using AlphaFold2-Based Generative Diffusion Model UFConf.

Proteins·2025
Same author

Using multiple computer-predicted structures as molecular replacement models: application to the antiviral mini-protein LCB2.

IUCrJ·2025
Same author

PCANN Program for Structure-Based Prediction of Protein-Protein Binding Affinity: Comparison With Other Neural-Network Predictors.

Proteins·2025
Same author

Local structure propensities in disordered proteins from cross-correlated NMR spin relaxation.

Journal of biomolecular NMR·2025
Same author

Order/Disorder Transitions Upon Protein Binding: A Unifying Perspective.

Proteins·2024
Same author

DPPM-Bridged Binuclear Pt(II) Pincer Complexes: Chemistry, Structure, and Photophysics in Solution Revisited.

Inorganic chemistry·2024

相关实验视频

Updated: Feb 19, 2026

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale
08:09

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale

Published on: April 19, 2021

6.2K

网络服务器DDfit:一种新方案,以提高精度处理PFG NMR扩散数据.

Vladislav A Salikov1, Olga O Lebedenko1, Nikolai R Skrynnikov2,3

  • 1Laboratory of Biomolecular NMR, St. Petersburg State University, St. Petersburg, 199034, Russia.

Journal of biomolecular NMR
|February 17, 2026
PubMed
概括

一个新的Web服务器,DDfit,准确地处理刺激回声蛋白扩散数据. 它提高了确定蛋白质扩散系数的精度,为NMR分析提供了重大进步.

关键词:
基线调整为基线调整.对于PFG的NMR来说,这是一个很好的方法.蛋白质的扩散是蛋白质的扩散.信号对噪声优化信号对噪声优化配合光谱的配合.刺激的回声刺激引起了回声刺激.

更多相关视频

Transport Properties of Ibuprofen Encapsulated in Cyclodextrin Nanosponge Hydrogels: A Proton HR-MAS NMR Spectroscopy Study
10:10

Transport Properties of Ibuprofen Encapsulated in Cyclodextrin Nanosponge Hydrogels: A Proton HR-MAS NMR Spectroscopy Study

Published on: August 15, 2016

10.8K
A New Straightforward Method for Lipophilicity logP Measurement using 19F NMR Spectroscopy
09:32

A New Straightforward Method for Lipophilicity logP Measurement using 19F NMR Spectroscopy

Published on: January 30, 2019

15.2K

相关实验视频

Last Updated: Feb 19, 2026

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale
08:09

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale

Published on: April 19, 2021

6.2K
Transport Properties of Ibuprofen Encapsulated in Cyclodextrin Nanosponge Hydrogels: A Proton HR-MAS NMR Spectroscopy Study
10:10

Transport Properties of Ibuprofen Encapsulated in Cyclodextrin Nanosponge Hydrogels: A Proton HR-MAS NMR Spectroscopy Study

Published on: August 15, 2016

10.8K
A New Straightforward Method for Lipophilicity logP Measurement using 19F NMR Spectroscopy
09:32

A New Straightforward Method for Lipophilicity logP Measurement using 19F NMR Spectroscopy

Published on: January 30, 2019

15.2K

科学领域:

  • 生物物理学的生物物理.
  • 结构生物学 结构生物学
  • 核磁共振 (NMR) 光谱学 核磁共振 (NMR) 光谱学

背景情况:

  • 蛋白质扩散测量对于理解蛋白质动态和相互作用至关重要.
  • 处理刺激回声蛋白扩散数据的现有方法的准确性和精确性可能受到限制.
  • 精确确定扩散系数有助于描述蛋白质的结构和功能.

研究的目的:

  • 引入一种用于刺激回声蛋白扩散实验的新型数据处理方案.
  • 开发一个用户友好的Web服务器 (DDfit) 来实现这个新算法.
  • 为了提高蛋白质扩散系数的准确性和精确性.

主要方法:

  • 开发了一种新模型,以在渐变编码的质子光谱中近似蛋白质特异的光谱形状.
  • 该模型利用光谱的强度加权组合,灵感来自最佳过理论.
  • 经过处理的光谱被调整为获得用于Stejskal-Tanner类型分析的积分信号强度.

主要成果:

  • 实施了DDfit网络服务器,并使其公开可访问.
  • 服务器有效地处理来自标准和定制刺激回声实验的数据.
  • 与现有方法相比,DDfit对蛋白质扩散系数的精度有了几倍的改进,并通过模拟和实验数据进行了验证.

结论:

  • DDfit算法和Web服务器为分析蛋白质扩散数据提供了高度准确和精确的方法.
  • 该工具在基于NMR的蛋白质表征领域取得了重大进展.
  • 预计DDfit将促进对蛋白质动态和相互作用的更可靠研究.