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相关概念视频

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.4K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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相关实验视频

Updated: Jun 30, 2025

Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry
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Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry

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快速峰值错误校正算法用于使用自上而下的联质谱进行蛋白质形体识别.

Zhaohui Zhan1, Lusheng Wang1,2

  • 1Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China.

Bioinformatics (Oxford, England)
|March 18, 2024
PubMed
概括

我们开发了TopMGFast,通过改进质量图对齐来识别蛋白形状的更快算法. 这种方法可以实现更可靠的全球对齐,减少质量误差,增强蛋白质组分析.

科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 在蛋白质组学中,蛋白质形式的识别对于理解蛋白质的功能至关重要.
  • 现有方法面临的挑战是可能的蛋白质形式的组合复杂性.
  • 精确对齐质量图,考虑到峰值误差,对于可靠的蛋白质形状识别至关重要.

研究的目的:

  • 开发一种更快的算法,用于对光谱和蛋白质形质量图的错误校正对齐.
  • 为了提高蛋白形体识别中的全球最佳对齐的准确性和可靠性.
  • 提供一款能够高效处理大规模蛋白质组数据集的计算工具.

主要方法:

  • 利用蛋白质形质量图和光谱质量图来表示蛋白质数据库和实验光谱.
  • 开发了新的算法来对这些质量图之间的错误校正对齐.
  • 在一个名为TopMGFast的软件包中实现了算法.

主要成果:

  • TopMGFast显著减少了质量图表对齐的运行时间和空间需求.
  • 该算法在本地对齐任务中实现了2.5倍的加速度.
  • 与最先进的TopMG方法相比,TopMGFast生成的全球对齐显示较小的最大质量误差,确保更高的可靠性.

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

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Protease- and Acid-catalyzed Labeling Workflows Employing 18O-enriched Water
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Protease- and Acid-catalyzed Labeling Workflows Employing 18O-enriched Water

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10:05

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

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Protease- and Acid-catalyzed Labeling Workflows Employing 18O-enriched Water
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Protease- and Acid-catalyzed Labeling Workflows Employing 18O-enriched Water

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  • 这是首次在现实世界蛋白质组数据集上获得全球最佳错误纠正对齐的演示.

    • 结论:

    • 通过改进的质量图对齐,TopMGFast提供了一种更有效,更可靠的方法来识别蛋白形状.
    • 算法的能力产生准确的全球对齐与受控质量错误是一个重要的进步蛋白质组学.
    • 由于TopMGFast的可用性,使复杂的蛋白质组数据的更强大的分析更加容易.