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Peptide Identification Using Tandem Mass Spectrometry

Peptide Identification Using Tandem Mass Spectrometry

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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Updated: Jul 21, 2025

Peptide-based Identification of Functional Motifs and their Binding Partners

Peptide-based Identification of Functional Motifs and their Binding Partners

Published on: June 30, 2013

MSBooster:使用基于深度学习的功能来提高的识别率.

Kevin L Yang¹, Fengchao Yu², Guo Ci Teo³

¹Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.

Nature communications

|July 27, 2023

概括

此摘要是机器生成的。

MSBooster通过使用深度学习来重新评分与预测的性质相匹配,提高了质谱中的鉴定. 该工具可以提高各种蛋白质组学工作流程的准确性,包括免疫组学和单细胞分析.

更多相关视频

Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry

Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry

Published on: March 23, 2020

A Spin-Tip Enrichment Strategy for Simultaneous Analysis of N-Glycopeptides and Phosphopeptides from Human Pancreatic Tissues

A Spin-Tip Enrichment Strategy for Simultaneous Analysis of N-Glycopeptides and Phosphopeptides from Human Pancreatic Tissues

Published on: May 4, 2022

相关实验视频

Last Updated: Jul 21, 2025

Peptide-based Identification of Functional Motifs and their Binding Partners

Peptide-based Identification of Functional Motifs and their Binding Partners

Published on: June 30, 2013

Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry

Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry

Published on: March 23, 2020

A Spin-Tip Enrichment Strategy for Simultaneous Analysis of N-Glycopeptides and Phosphopeptides from Human Pancreatic Tissues

A Spin-Tip Enrichment Strategy for Simultaneous Analysis of N-Glycopeptides and Phosphopeptides from Human Pancreatic Tissues

Published on: May 4, 2022

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
质谱测量质量谱测量

背景情况:

在LC-MS/MS中酸标识依赖于数据库搜索算法.
像MSFragger这样的现有工具可以将光谱与候选序列相匹配.
准确的标识对于各种蛋白质组应用至关重要.

研究的目的:

介绍MSBooster,这是一个用于重新计分与光谱匹配的新工具.
利用深度学习来预测的特性,例如保留时间和离子流动性.
为了提高LC-MS/MS数据中的类鉴定的准确性和稳定性.

主要方法:

MSBooster利用深度学习模型来预测的特性.
这些预测被纳入作为额外的功能,用于重新记录与光谱匹配.
该工具与MSFragger和Percolator一起进行了评估.

主要成果:

MSBooster在各种工作流程中表现出实用性,包括免疫学和数据独立获取.
在单细胞蛋白质组学数据和来自离子流动性支持平台 (timsTOF MS) 的数据上验证了性能.
该工具在标识方面表现出了速度和稳定性.

结论:

在LC-MS/MS中,MSBooster显著提高了的识别准确性.
它与MSFragger和Percolator等既有工具的集成提供了一个强大的解决方案.
MSBooster是FragPipe计算平台的宝贵补充,用于先进的蛋白质组学研究.