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Authors: Teodora Gerasimoska 1 ; Milka Ljoncheva 2 ; 3 and Monika Simjanoska 1

Affiliations: 1 Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Rugjer Boshkovikj 16, 1000 Skopje, N. Macedonia ; 2 Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia ; 3 International Postgraduate School Jožef Stefan, Jamova Cesta 39, 1000 Ljubljana, Slovenia

Keyword(s): Mass Spectral Library, Batch Search Tool, Mass Spectrometry.

Abstract: Identification of new organic compounds through suspect screening (SS) and non-targeted analysis (NTA) became the most challenging task in environmental and metabolomics research in the recent two decades. Identification of thousands of organic compounds is performed using the recent technology advancements in chromatography-mass spectrometry as the core analytical platform, assisted by multitude of cheminformatics-assisted approaches. As many of those approaches rely on mass spectral libraries (MSLs) search, the availability of comprehensive MSLs with engines for batch search and export of MS data and batch search engines for simultaneous search and export of MS data from multiple MSLs is of crucial importance. In lack of such, analysts perform this step in a laborious, time-consuming manual manner, importing significant risk of compound misidentification. This paper presents MSL-ST, the first tool for automated batch search and storage of MS spectra that uses two of the largest pub licly available MSLs as data source, the MassBank of North America (MoNa) and the MassBank of Europe. MSL-ST assembles large amount of MS data in an automated, time- and cost-effective manner in a format which allows its further processing, especially for the purpose of compound identification. The tool, accompanied with user manual, is publicly available on GitHub. (More)

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Paper citation in several formats:
Gerasimoska, T.; Ljoncheva, M. and Simjanoska, M. (2021). MSL-ST: Development of Mass Spectral Library Search Tool to Enhance Compound Identification. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOINFORMATICS; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 195-203. DOI: 10.5220/0010424100002865

@conference{bioinformatics21,
author={Teodora Gerasimoska. and Milka Ljoncheva. and Monika Simjanoska.},
title={MSL-ST: Development of Mass Spectral Library Search Tool to Enhance Compound Identification},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOINFORMATICS},
year={2021},
pages={195-203},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010424100002865},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOINFORMATICS
TI - MSL-ST: Development of Mass Spectral Library Search Tool to Enhance Compound Identification
SN - 978-989-758-490-9
IS - 2184-4305
AU - Gerasimoska, T.
AU - Ljoncheva, M.
AU - Simjanoska, M.
PY - 2021
SP - 195
EP - 203
DO - 10.5220/0010424100002865
PB - SciTePress