Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an organic...
Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Coefficient of Variation01:10

Coefficient of Variation

The coefficient of variation measures the dispersion of the data points or distribution around the mean. Using the coefficient of variation, we can compare two data series with drastically different means or different units of measurement. The coefficient of variation for a sample and a population is expressed as a percentage of the ratio of standard deviation to the mean.
The coefficient of variation is a practical statistical tool in finance. It allows investors to assess the volatility or...
Aggregates Classification01:29

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Amuc_1100 alleviates HFD-induced hepatic lipid accumulation via gut microbiota in zebrafish: insights from the role of intestinal 14-3-3β/α-A.

Journal of animal science and biotechnology·2026
Same author

DEEP Phaser: A Deep Learning Tandem Vision Transformer for Fully Automated NMR Phase Correction.

The journal of physical chemistry letters·2026
Same author

Isotope In-Phase/Opposite-Phase-Edited 2D <sup>1</sup>H-<sup>1</sup>H (<sup>12</sup>C/<sup>13</sup>C) TOCSY and Complementary 1D <sup>1</sup>H Selective NMR Experiments for Carbon Tracing in Complex Samples.

Analytical chemistry·2026
Same author

Tolerance and response of afatinib combined with tegafur in patients with advanced biliary tract cancer after failure of gemcitabine-based systemic therapy.

Discover oncology·2026
Same author

The scientific legacy of Martin Karplus from the perspective of his collaborators.

Biophysical journal·2026
Same author

Fault Diagnosis Method for Reciprocating Compressors Based on Spatio-Temporal Feature Fusion.

Sensors (Basel, Switzerland)·2026

関連する実験動画

Updated: Jul 11, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

最小限のデータセットから強化されたコヴァリアンススペクトロスコーピー.

Yanbin Chen1, Fengli Zhang, Wolfgang Bermel

  • 1Department of Chemistry and Biochemistry, National High Magnetic Field Laboratory, Florida State University, Tallahassee, Florida 32306, USA.

Journal of the American Chemical Society
|December 7, 2006
PubMed
まとめ

この研究は,最小限のデータを用いて,高解像度核磁共振 (NMR) の共変性スペクトルを取得するためのより高速な方法を紹介しています. この技術は,高通量スクリーニングなどのアプリケーションの効率を改善します.

科学分野:

  • アナリティカル・ケミストリー (Analytical Chemistry) とは
  • スペクトル顕微鏡検査です.
  • 生物物理化学 生物物理化学

背景:

  • 核磁共振 (NMR) スペクトロスコピーは,分子構造の決定に不可欠です.
  • 高解像度のNMR共変性スペクトルを取得するには,多くの場合,長い実験時間と大規模なデータセットが必要です.
  • 既存の方法は,速度とデータ効率の課題に直面し,高通量スクリーニングなどの分野でのアプリケーションを制限しています.

研究 の 目的:

  • 高解像度ホモ核型NMR共変性スペクトルを決定するための新しい,効率的なアプローチを開発する.
  • 最小限の実験データセットから信頼性の高いスペクトル取得を可能にする.
  • NMRベースのスクリーニングプロセスを加速するために.

主な方法:

  • NMR実験の間接的な次元に沿った散らばったサンプリングスキームの実施.
  • アーティファクトを軽減するための有限サンプリング効果の包括的な分析.
  • 総相関スペクトロスコーピー (TOCSY) と相関スペクトロスコーピー (COSY) のような標準的なNMR実験を用いた方法の実証.

主要な成果:

  • 大幅に減少したデータセットから信頼性の高い高解像度ホモ核型NMR共変性スペクトルの決定に成功しました.

さらに関連する動画

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets
03:37

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets

Published on: March 1, 2024

関連する実験動画

Last Updated: Jul 11, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets
03:37

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets

Published on: March 1, 2024

  • 限られたサンプリングから一般的に発生する偽の相関の排除.
  • 従来のNMR共変性スペクトル取得方法と比較して,実質的な加速が実証されています.

    • 結論:

    • 開発された散らばったサンプリング戦略は,NMR共変性スペクトロスコピーの重要な進歩を提供します.
    • この方法は効率を高め,迅速な分析と高通量スクリーニングに適しています.
    • NMR技術を用いたより迅速な分子特徴化のための経路を提供します.