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Related Concept Videos

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Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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Multispectrum ModiFinder Site Localization Performance.

Mohammad Reza Zare Shahneh1, James Pyke2, Emma E Rennie2

  • 1Department of Computer Science and Engineering, University of California Riverside, 900 University Avenue, Riverside, California 92521, United States.

Journal of the American Society for Mass Spectrometry
|April 9, 2025
PubMed
Summary
This summary is machine-generated.

This study enhances ModiFinder, a tool for identifying chemical modifications in mass spectrometry (MS/MS) data. By integrating spectra from multiple collision energies and adducts, researchers improved compound localization accuracy.

Keywords:
library searchmass spectrometrymodification site localizationstructural identification

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Area of Science:

  • Analytical Chemistry
  • Computational Chemistry
  • Biochemistry

Background:

  • Tandem mass spectrometry (MS/MS) is crucial for small molecule identification, but many spectra remain unassigned.
  • Existing computational tools like ModiFinder predict chemical modification sites but face limitations due to insufficient data and annotation ambiguities.
  • Untargeted metabolomics experiments generate vast amounts of MS/MS data, necessitating improved identification strategies.

Purpose of the Study:

  • To investigate the impact of incorporating MS/MS spectra from multiple collision energies and mass spectrometry adducts on ModiFinder's localization accuracy.
  • To assess if complementary spectral information can overcome limitations in current modification site prediction tools.
  • To expand the utility of ModiFinder for identifying a broader range of modified small molecules.

Main Methods:

  • Utilized a large dataset of 2150 compounds from Agilent Technologies, significantly larger than previous datasets.
  • Evaluated ModiFinder's performance by incorporating MS/MS spectra obtained using various collision energies.
  • Assessed the effect of including different mass spectrometry adducts on the accuracy of modification site prediction.

Main Results:

  • Combining spectra from multiple collision energies and adducts demonstrably improved ModiFinder's ability to localize chemical modifications.
  • The enhanced approach expanded the range of compounds for which modification sites could be accurately predicted.
  • Overall performance of the ModiFinder tool was significantly boosted by the integration of complementary spectral data.

Conclusions:

  • Integrating MS/MS spectra from diverse collision energies and adducts is an effective strategy to enhance computational modification site prediction.
  • This approach significantly improves the accuracy and scope of identifying chemical modifications in complex small molecule mixtures.
  • The findings pave the way for more comprehensive structural elucidation in untargeted mass spectrometry experiments.