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

Applications Of NMR In Biology01:25

Applications Of NMR In Biology

3.9K
Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
3.9K
Nuclear Magnetic Resonance (NMR): Overview01:07

Nuclear Magnetic Resonance (NMR): Overview

3.2K
Nuclear magnetic resonance (NMR) is a phenomenon exhibited by certain nuclei that can absorb characteristic radio frequency radiation under certain conditions. NMR has been extensively applied in molecular spectroscopy and medical diagnostic imaging. In both these applications, the molecule or subject under study is placed in a magnetic field and irradiated with radio frequency energy.
NMR spectroscopy generates a spectrum where the characteristic absorption frequencies of the sample are...
3.2K
NMR Spectrometers: Overview01:20

NMR Spectrometers: Overview

1.3K
NMR spectrometers consist of a strong magnet, a radiofrequency transmitter, and a detector attached to a computer console for recording spectra of samples containing NMR-active nuclei. In first-generation NMR instruments called continuous-wave spectrometers, the resonance frequencies of the nuclei are determined by frequency-sweep or field-sweep methods. The magnetic field strength is fixed and the rf signal is swept in the former, while the radiofrequency signal is fixed and the magnetic field...
1.3K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.1K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.1K
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

774
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...
774
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

287
Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
287

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

Alpha-synuclein fibrils induce budding of mitochondrial-derived vesicles.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Solution structure of mouse HBS1L/SKI7-specific UBA domain in complex with ubiquitin: Implications for stalled ribosome recognition.

PloS one·2026
Same author

Combining photo-CIDNP and long-lived spin states enables high-contrast detection of weak protein-ligand interactions.

Physical chemistry chemical physics : PCCP·2026
Same author

The NMR Exchange Format (NEF): Specification and Applications.

bioRxiv : the preprint server for biology·2026
Same author

ATP synthase is a promising target for identifying activated and non-activated adipose tissues.

Nature communications·2026
Same author

TNF alpha unmasks enteric malate aspartate shuttle dysfunction bridging Parkinson disease and intestinal inflammation.

Nature communications·2026
Same journal

Enhancing spin coherence times in solid-state NMR using tailored heteronuclear spin decoupling.

Progress in nuclear magnetic resonance spectroscopy·2026
Same journal

Moving NMR infrastructures to remote access capabilities.

Progress in nuclear magnetic resonance spectroscopy·2026
Same journal

Band-selective excitation short transient <sup>1</sup>H PGSE NMR.

Progress in nuclear magnetic resonance spectroscopy·2026
Same journal

DNP-enhanced NMR of half-integer quadrupolar nuclei in solids.

Progress in nuclear magnetic resonance spectroscopy·2026
Same journal

NMR-based metabolomics: Where are we now and where are we going?

Progress in nuclear magnetic resonance spectroscopy·2025
Same journal

Experience of how to build an MRI machine from scratch.

Progress in nuclear magnetic resonance spectroscopy·2025
查看所有相关文章

相关实验视频

Updated: Sep 8, 2025

Paramagnetic Relaxation Enhancement for Detecting and Characterizing Self-Associations of Intrinsically Disordered Proteins
07:24

Paramagnetic Relaxation Enhancement for Detecting and Characterizing Self-Associations of Intrinsically Disordered Proteins

Published on: September 23, 2021

1.9K

机器学习在NMR光谱学中

Piotr Klukowski1, Roland Riek1, Peter Güntert2

  • 1Institute of Molecular Physical Science, ETH Zurich, Zurich, Switzerland.

Progress in nuclear magnetic resonance spectroscopy
|September 5, 2025
PubMed
概括
此摘要是机器生成的。

机器学习增强了分子研究的核磁共振 (NMR) 光谱. 本综述涵盖了NMR数据处理和分析中的ML应用,从信号检测到结构确定,为未来的研究铺平了道路.

关键词:
自动化频谱分析化学班的分配化学转移预测深度学习机器学习核磁共振光谱学不统一的抽样采摘高峰期结构的确定

更多相关视频

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
13:16

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Published on: July 31, 2021

2.0K
O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.7K

相关实验视频

Last Updated: Sep 8, 2025

Paramagnetic Relaxation Enhancement for Detecting and Characterizing Self-Associations of Intrinsically Disordered Proteins
07:24

Paramagnetic Relaxation Enhancement for Detecting and Characterizing Self-Associations of Intrinsically Disordered Proteins

Published on: September 23, 2021

1.9K
Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
13:16

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Published on: July 31, 2021

2.0K
O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.7K

科学领域:

  • 分析化学
  • 生物物理
  • 材料科学

背景情况:

  • 核磁共振 (NMR) 光谱是一种分析分子结构,动态和相互作用的强大工具.
  • 越来越复杂的NMR研究需要先进的计算方法.
  • 机器学习 (ML) 为改善NMR数据采集,处理和分析提供了有希望的解决方案.

研究的目的:

  • 审查最近在机器学习与NMR光谱学的整合方面的进展.
  • 突出在NMR光谱中的常见ML应用.
  • 在ML和NMR的交叉点确定趋势和未来方向.

主要方法:

  • 在NMR光谱学中对ML最近发现的文献综述.
  • 在NMR中对ML应用进行分类 (例如,信号检测,化学转移分配,结构确定,化学转移预测,非均采样重建,无噪声).
  • 对每个应用程序的ML方法,设计选择和数据库进行讨论.

主要成果:

  • ML已成功应用于各种NMR任务,包括信号检测,分配和结构确定.
  • 在处理和分析复杂的NMR数据时,ML方法提高了效率和准确性.
  • 为常见的NMR应用确定了关键ML方法和相关数据库.

结论:

  • 机器学习是NMR光谱学的转型技术.
  • 进一步整合ML将加速分子结构,动力学和相互作用的发现.
  • 新出现的趋势表明,在机器学习驱动的NMR研究中,创新仍在继续.