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A spectroscopic test suggests that fragment ion structure annotations in MS/MS libraries are frequently incorrect

  • Lara van Tetering
  • , Sylvia Spies
  • , Quirine D. K. Wildeman
  • , Kas J. Houthuijs
  • , Rianne E. van Outersterp
  • , Jonathan Martens
  • , Ron A. Wevers
  • , David S. Wishart
  • , Giel Berden
  • , Jos Oomens*
  • *Corresponding author for this work

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Modern untargeted mass spectrometry (MS) analyses quickly detect and resolve thousands of molecular compounds. Although features are readily annotated with a molecular formula in high-resolution small-molecule MS applications, the large majority of them remains unidentified in terms of their full molecular structure. Collision-induced dissociation tandem mass spectrometry (CID-MS2) provides a diagnostic molecular fingerprint to resolve the molecular structure through a library search. However, for de novo identifications, one must often rely on in silico generated MS2 spectra as reference. The ability of different in silico algorithms to correctly predict MS2 spectra and thus to retrieve correct molecular structures is a topic of lively debate, for instance in the CASMI contest. Underlying the predicted MS2 spectra are the in silico generated product ion structures, which are normally not used in de novo identification, but which can serve to critically assess the fragmentation algorithms. Here we evaluate in silico generated MSn product ion structures by comparison with structures established experimentally by infrared ion spectroscopy (IRIS). For a set of three dozen product ion structures from five precursor molecules, we find that virtually all fragment ion structure annotations in three major in silico MS2 libraries (HMDB, METLIN, mzCloud) are incorrect and caution the reader against their use for structure annotation of MS/MS ions.
Original languageEnglish
Article number30
Pages (from-to)1-11
Number of pages11
JournalCommunications Chemistry
Volume7
Early online date14 Feb 2024
DOIs
Publication statusPublished - 2024
Externally publishedYes

Funding

We gratefully acknowledge the support of the FELIX technical staff. We thank Ms. Anneke Grotenhuis and Ms. Anna Peters for the preliminary experiments leading to this study. This project received funding from the Dutch Research Council (NWO) under grant numbers TTW-OTP 15769, TKI-LIFT 731.014.419, and GWI Roadmap 184.034.022. Computations were performed at the national supercomputer Snellius at SurfSara in Amsterdam with the compute budget kindly provided through NWO Rekentijd grant 2021.055.

FundersFunder number
Nederlandse Organisatie voor Wetenschappelijk OnderzoekTKI-LIFT 731.014.419, 184.034.022, TTW-OTP 15769, 2021.055
Fundação para a Ciência e a TecnologiaPTDC/CCI-INF/6762/2020

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