Literature DB >> 32073000

Graph theory-based reaction pathway searches and DFT calculations for the mechanism studies of free radical-initiated peptide sequencing mass spectrometry (FRIPS MS): a model gas-phase reaction of GGR tri-peptide.

Jae-Ung Lee1, Yeonjoon Kim, Woo Youn Kim, Han Bin Oh.   

Abstract

Graph theory-based reaction pathway searches (ACE-Reaction program) and density functional theory calculations were performed to shed light on the mechanisms for the production of [an + H]+, xn+, yn+, zn+, and [yn + 2H]+ fragments formed in free radical-initiated peptide sequencing (FRIPS) mass spectrometry measurements of a small model system of glycine-glycine-arginine (GGR). In particular, the graph theory-based searches, which are rarely applied to gas-phase reaction studies, allowed us to investigate reaction mechanisms in an exhaustive manner without resorting to chemical intuition. As expected, radical-driven reaction pathways were favorable over charge-driven reaction pathways in terms of kinetics and thermodynamics. Charge- and radical-driven pathways for the formation of [yn + 2H]+ fragments were carefully compared, and it was revealed that the [yn + 2H]+ fragments observed in our FRIPS MS spectra originated from the radical-driven pathway, which is in contrast to the general expectation. The acquired understanding of the FRIPS fragmentation mechanism is expected to aid in the interpretation of FRIPS MS spectra. It should be emphasized that graph theory-based searches are powerful and effective methods for studying reaction mechanisms, including gas-phase reactions in mass spectrometry.

Entities:  

Year:  2020        PMID: 32073000     DOI: 10.1039/c9cp05433b

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  2 in total

1.  New free radical-initiated peptide sequencing (FRIPS) mass spectrometry reagent with high conjugation efficiency enabling single-step peptide sequencing.

Authors:  Sang Tak Lee; Hyemi Park; Inae Jang; Choong Sik Lee; Bongjin Moon; Han Bin Oh
Journal:  Sci Rep       Date:  2022-06-09       Impact factor: 4.996

2.  Generative Algorithm for Molecular Graphs Uncovers Products of Oil Oxidation.

Authors:  Yuliia Orlova; Alessa A Gambardella; Ivan Kryven; Katrien Keune; Piet D Iedema
Journal:  J Chem Inf Model       Date:  2021-02-22       Impact factor: 4.956

  2 in total

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