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Mass Spectrometry: Cycloalkene Fragmentation00:54

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In mass spectrometry, cycloalkanes exhibit distinct fragmentation patterns due to the inherent stability of their molecular ions compared to linear or branched alkanes. The ring structure of cycloalkanes provides additional stability to the molecular ions, often resulting in prominent ion peaks in the mass spectrum.
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The ionization of a molecule into a molecular ion inside the mass spectrometer causes instability in the molecule's structure due to the loss of an electron. This eventually leads to the fragmentation or breaking of some bonds in the molecule. The fragmentation occurs predominantly at specific bonds to yield relatively stable fragments.
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The molecular ion peak of a molecule in the mass spectrum provides vital information for molecular identification. However, conventional electron impact ionization can lead to the rapid dissociation of some molecular ions before they reach the detector. A milder ionization method is required to increase the lifetime of such ionized analyte molecules. Chemical ionization (CI) is a gas-phase protonation reaction useful for mass-analyzing analyte molecules that are easily protonated to yield the...
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CIDer: A Statistical Framework for Interpreting Differences in CID and HCD Fragmentation.

Damien B Wilburn1,2, Alicia L Richards3,4,5, Danielle L Swaney3,4,5

  • 1Institute for Systems Biology, Seattle, Washington 98109, United States.

Journal of Proteome Research
|March 17, 2021
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Summary
This summary is machine-generated.

This study introduces CIDer, a tool converting peptide fragmentation spectra between High-Collision Dissociation (HCD) and Collision-Induced Dissociation (CID) methods. This conversion enhances peptide detection in mass spectrometry library searching.

Keywords:
CIDHCDlibrary generationlibrary searchingmass spectrometrypeptide detectionpredictionproteomics

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Mass Spectrometry

Background:

  • Library searching is crucial for peptide identification in mass spectrometry.
  • High-Collision Dissociation (HCD) and Collision-Induced Dissociation (CID) are common fragmentation techniques with spectral differences.
  • Existing spectral libraries are often specific to one fragmentation method.

Purpose of the Study:

  • To develop a method for modeling and converting peptide fragmentation spectra between HCD and CID.
  • To introduce a software tool, CIDer, for facilitating this spectral conversion.
  • To evaluate the utility of converted libraries for peptide detection.

Main Methods:

  • Modeling spectral differences between HCD and CID using linear models and peptide fragmentation principles.
  • Developing the CIDer software tool for library conversion.
  • Comparing peptide detection rates using original CID libraries, machine learning predictions, and CIDer-converted HCD libraries.

Main Results:

  • A method was established to explain up to 43% of spectral variation between HCD and CID fragmentation.
  • The CIDer tool was developed to convert spectral libraries between HCD and CID.
  • In specific scenarios, searching converted CID libraries identified more peptides than searching existing CID libraries or predicted libraries.

Conclusions:

  • Converting between HCD and CID spectral libraries using CIDer can improve peptide detection in mass spectrometry.
  • This approach offers a practical interim solution for leveraging existing spectral data while large-scale CID libraries are developed.