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相关概念视频

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...

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相关实验视频

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

从最小的数据集进行增强的共变谱学.

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
概括

这项研究引入了一种更快的方法,可以使用最小的数据获得高分辨率的核磁共振 (NMR) 协变谱. 该技术提高了诸如高通量选等应用的效率.

科学领域:

  • 分析化学 分析化学
  • 频谱学是一种光谱学.
  • 生物物理化学 生物物理化学

背景情况:

  • 核磁共振 (NMR) 光谱对于分子结构的确定至关重要.
  • 获得高分辨率的NMR共变谱通常需要大量的实验时间和大量数据集.
  • 现有的方法在速度和数据效率方面面临挑战,限制了在高通量选等领域的应用.

研究的目的:

  • 开发一种新的,高效的方法来确定高分辨率的同核NMR共变谱.
  • 为了从最小的实验数据集中实现可靠的光谱采集.
  • 为了加速基于NMR的查过程.

主要方法:

  • 在NMR实验的间接维度上实施稀疏采样方案.
  • 对有限抽样效应进行全面分析,以减轻工件.
  • 使用标准的NMR实验,如总相关谱 (TOCSY) 和相关谱 (COSY) 方法的演示.

主要成果:

  • 从显著减少的数据集成功地确定了可靠的高分辨率同核NMR共变谱.
  • 消除通常由有限采样产生的虚假相关性.
  • 与传统的NMR共变频谱采集方法相比,已经证明了显著的加速.

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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

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

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相关实验视频

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

结论:

  • 开发的稀疏采样策略为NMR共变谱学提供了重大进展.
  • 这种方法提高了效率,使其适合快速分析和高通量选.
  • 它为使用NMR技术更快地进行分子表征提供了一条途径.