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PyFragMSA Web Tool for the Investigation of the Collision-Induced Fragmentation Pathways

Dissociation induced by the accumulation of internal energy via collisions of ions with neutral molecules is one of the most important fragmentation techniques in mass spectrometry (MS), and the identification of small singly charged molecules is based mainly on the consideration of the fragmentatio...

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Published in:ACS omega 2022-03, Vol.7 (11), p.9710-9719
Main Authors: Kostyukevich, Yury, Sosnin, Sergey, Osipenko, Sergey, Kovaleva, Oxana, Rumiantseva, Lidiia, Kireev, Albert, Zherebker, Alexander, Fedorov, Maxim, Nikolaev, Evgeny N
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cited_by cdi_FETCH-LOGICAL-a499t-f688bb62479b86e0e93fb860c0f102171363b4f31d483263243157cd28e5b5353
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container_end_page 9719
container_issue 11
container_start_page 9710
container_title ACS omega
container_volume 7
creator Kostyukevich, Yury
Sosnin, Sergey
Osipenko, Sergey
Kovaleva, Oxana
Rumiantseva, Lidiia
Kireev, Albert
Zherebker, Alexander
Fedorov, Maxim
Nikolaev, Evgeny N
description Dissociation induced by the accumulation of internal energy via collisions of ions with neutral molecules is one of the most important fragmentation techniques in mass spectrometry (MS), and the identification of small singly charged molecules is based mainly on the consideration of the fragmentation spectrum. Many research studies have been dedicated to the creation of databases of experimentally measured tandem mass spectrometry (MS/MS) spectra (such as MzCloud, Metlin, etc.) and developing software for predicting MS/MS fragments in silico from the molecular structure (such as MetFrag, CFM-ID, CSI:FingerID, etc.). However, the fragmentation mechanisms and pathways are still not fully understood. One of the limiting obstacles is that protomers (positive ions protonated at different sites) produce different fragmentation spectra, and these spectra overlap in the case of the presence of different protomers. Here, we are proposing to use a combination of two powerful approaches: computing fragmentation trees that carry information of all consecutive fragmentations and consideration of the MS/MS data of isotopically labeled compounds. We have created PyFragMSa web tool consisting of a database of annotated MS/MS spectra of isotopically labeled molecules (after H/D and/or 16O/18O exchange) and a collection of instruments for computing fragmentation trees for an arbitrary molecule. Using PyFragMS, we investigated how the site of protonation influences the fragmentation pathway for small molecules. Also, PyFragMS offers capabilities for performing database search when MS/MS data of the isotopically labeled compounds are taken into account.
doi_str_mv 10.1021/acsomega.1c07272
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title PyFragMSA Web Tool for the Investigation of the Collision-Induced Fragmentation Pathways
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