Literature DB >> 31696434

Fragmentation Spectra Prediction and DNA Adducts Structural Determination.

Andrea Carrà1, Veronica Macaluso2, Peter W Villalta1, Riccardo Spezia3, Silvia Balbo4.   

Abstract

In this work, chemical dynamics simulations were optimized and used to predict fragmentation mass spectra for DNA adduct structural determination. O6-methylguanine (O6-Me-G) was used as a simple model adduct to calculate theoretical spectra for comparison with measured high-resolution fragmentation data. An automatic protocol was established to consider the different tautomers accessible at a given energy and obtain final theoretical spectra by insertion of an initial tautomer. In the work reported here, the most stable tautomer was chosen as the initial structure, but in general, any structure could be considered. Allowing for the formation of the various possible tautomers during simulation calculations was found to be important to getting a more complete fragmentation spectrum. The calculated theoretical results reproduce the experimental peaks such that it was possible to determine reaction pathways and product structures. The calculated tautomerization network was crucial to correctly identifying all the observed ion peaks, showing that a mobile proton model holds not only for peptide fragmentation but also for nucleobases. Finally, first principles results were compared to simple machine learning fragmentation models.

Entities:  

Keywords:  Adductomics; Collision-induced dissociation; Fragmentation prediction; Mobile proton model

Mesh:

Substances:

Year:  2019        PMID: 31696434     DOI: 10.1007/s13361-019-02348-7

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  28 in total

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2.  Semi-empirical molecular orbital methods including dispersion corrections for the accurate prediction of the full range of intermolecular interactions in biomolecules.

Authors:  Jonathan P McNamara; Ian H Hillier
Journal:  Phys Chem Chem Phys       Date:  2007-03-22       Impact factor: 3.676

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Journal:  Expert Rev Anticancer Ther       Date:  2009-04       Impact factor: 4.512

4.  Protonated urea collision-induced dissociation. Comparison of experiments and chemical dynamics simulations.

Authors:  Riccardo Spezia; Jean-Yves Salpin; Marie-Pierre Gaigeot; William L Hase; Kihyung Song
Journal:  J Phys Chem A       Date:  2009-12-17       Impact factor: 2.781

5.  Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density.

Authors: 
Journal:  Phys Rev B Condens Matter       Date:  1988-01-15

6.  Characterization of Protonated Model Disaccharides from Tandem Mass Spectrometry and Chemical Dynamics Simulations.

Authors:  Estefania Rossich Molina; Ane Eizaguirre; Violette Haldys; Dominique Urban; Gilles Doisneau; Yann Bourdreux; Jean-Marie Beau; Jean-Yves Salpin; Riccardo Spezia
Journal:  Chemphyschem       Date:  2017-06-20       Impact factor: 3.102

7.  Unimolecular Fragmentation of Deprotonated Diproline [Pro2-H]- Studied by Chemical Dynamics Simulations and IRMPD Spectroscopy.

Authors:  Ana Martin-Somer; Jonathan Martens; Josipa Grzetic; William L Hase; Jos Oomens; Riccardo Spezia
Journal:  J Phys Chem A       Date:  2018-02-28       Impact factor: 2.781

8.  Accurate description of van der Waals complexes by density functional theory including empirical corrections.

Authors:  Stefan Grimme
Journal:  J Comput Chem       Date:  2004-09       Impact factor: 3.376

9.  Importance of shattering fragmentation in the surface-induced dissociation of protonated octaglycine.

Authors:  Kyoyeon Park; Bipasha Deb; Kihyung Song; William L Hase
Journal:  J Am Soc Mass Spectrom       Date:  2009-03-04       Impact factor: 3.109

10.  Quantum chemical calculation of electron ionization mass spectra for general organic and inorganic molecules.

Authors:  Vilhjálmur Ásgeirsson; Christoph A Bauer; Stefan Grimme
Journal:  Chem Sci       Date:  2017-05-05       Impact factor: 9.825

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  1 in total

1.  A Comprehensive Database for DNA Adductomics.

Authors:  Giorgia La Barbera; Katrine Dalmo Nommesen; Catalina Cuparencu; Jan Stanstrup; Lars Ove Dragsted
Journal:  Front Chem       Date:  2022-05-27       Impact factor: 5.545

  1 in total

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