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相关概念视频

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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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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Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Protein Families02:47

Protein Families

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Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key...
15.3K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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相关实验视频

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The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
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亲爱的PSM:基于深度学习的类搜索引擎能够对蛋白质组学进行完整的数据库搜索.

Qingzu He1,2, Xiang Li1, Jinjin Zhong2,3

  • 1Department of Physics National Institute for Data Science in Health and Medicine Xiamen University Xiamen China.

Smart medicine
|October 18, 2024
PubMed
概括

亲爱的PSM是一个新的类搜索引擎,通过允许在不限制质量错误的情况下进行完整的数据库搜索来加速质谱数据分析. 这种工具显著提高了速度,减少了内存的使用,发现了更多的和蛋白质.

关键词:
深度学习是一种深度学习.反向指数的反向指数.质谱测量质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量类搜索的搜索方法蛋白质组学 蛋白质组学

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相关实验视频

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科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 质谱测量数据分析 数据分析
  • 生物信息学是一种生物信息学.

背景情况:

  • 谱匹配 (PSM) 对于将质谱数据与序列联系起来至关重要.
  • 搜索具有可变修改的大型基数据库带来了计算挑战,通常需要限制,减少解释深度.
  • 当前的搜索引擎在处理复杂数据集时面临速度和内存消耗的限制.

研究的目的:

  • 开发一个高性能类搜索引擎,Dear-PSM,能够进行完整的数据库搜索.
  • 为了克服传统谱匹配的时间和内存限制.
  • 提高质谱数据分析的解释能力.

主要方法:

  • 利用反向索引技术,有效地对实验频谱进行索引.
  • 实施深度学习算法,以进行强大的质验证.
  • 支持不受限制的质量误差和每个的变量修改数量的增加.

主要成果:

  • 在标准硬件上,Dear-PSM的速度比主流搜索引擎提高了7倍.
  • 与现有工具相比,显示内存消耗减少了240倍.
  • 在不同的数据集上重现主流引擎的90%以上的结果,同时识别新和蛋白质.

结论:

  • 亲爱的PSM在谱匹配方面取得了重大进展,使质谱数据的分析更快,更全面.
  • 该引擎执行完整数据库搜索的能力增强了蛋白质原子发现.
  • 亲爱的PSM为科学界提供了一个开源解决方案,可在GitHub上使用.