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Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

8.7K
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...
8.7K
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

7.2K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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Updated: Feb 28, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

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FiCOPS:FPGA计算框架的硬件/软件共同设计,用于基于质谱的基数据库搜索.

Sumesh Kumar, Joseph Zambreno, Ashfaq Khokhar

    bioRxiv : the preprint server for biology
    |February 27, 2026
    PubMed
    概括

    我们开发了基于FPGA的框架FiCOPS,以加速从质谱数据中识别. 这种硬件/软件联合设计显著提高了搜索速度,并减少了复杂蛋白质组分析的功耗.

    科学领域:

    • 计算生物学 计算生物学
    • 生物信息学是一种生物信息学.
    • 硬件加速器 硬件加速器

    背景情况:

    • 数据库搜索算法用于质谱 (MS) 数据对于鉴定至关重要,但在大型数据集和复杂修改的情况下面临可扩展性挑战.
    • 在非模型生物和元蛋白学等领域,日益增长的快速分析需求需要更快,更高效的计算解决方案.
    • 现有的序列算法在与搜索数据库规模的不断增加以及翻译后修改的复杂性作斗争,阻碍了实时应用.

    研究的目的:

    • 开发一种高效的芯片系统解决方案,以加速基数据库搜索.
    • 在速度,可扩展性和功耗方面解决当前算法的局限性.
    • 为了证明硬件加速的可行性,实时,在仪器上的蛋白质组数据分析.

    主要方法:

    • 封闭搜索算法的理论分析,以确定并行性和计算瓶.
    • 基于现场可编程门阵列 (FPGA) 的架构模板设计,利用固有的并行性.
    • 为快速设计太空探索和优化制定分析性能模型.
    • 在Intel Stratix 10 FPGA平台上实现并使用现实数据集进行评估.

    主要成果:

    • 与现有的中央处理单元 (CPU) 解决方案相比,FiCOPS框架实现了3.5倍的加快速度.

    更多相关视频

    A Hydrogen-Deuterium Exchange Mass Spectrometry HDX-MS Platform for Investigating Peptide Biosynthetic Enzymes
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    A Hydrogen-Deuterium Exchange Mass Spectrometry HDX-MS Platform for Investigating Peptide Biosynthetic Enzymes

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

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    相关实验视频

    Last Updated: Feb 28, 2026

    Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
    07:01

    Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

    Published on: August 19, 2025

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    A Hydrogen-Deuterium Exchange Mass Spectrometry HDX-MS Platform for Investigating Peptide Biosynthetic Enzymes
    11:32

    A Hydrogen-Deuterium Exchange Mass Spectrometry HDX-MS Platform for Investigating Peptide Biosynthetic Enzymes

    Published on: May 4, 2020

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

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  • 与CPU解决方案相比,FiCOPS的功耗减少了3倍.
  • 与图形处理单元 (GPU) 解决方案相比,观察到电力消耗减少了5倍.
  • 结论:

    • 基于FPGA的硬件加速,使用硬件/软件联合设计方法,有效地加速基数据库搜索.
    • 在质谱数据分析方面,FiCOPS在速度和功率效率方面都取得了显著的改进.
    • 开发的框架为实时,仪器上的蛋白质组数据处理提供了可行的解决方案.