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Small Molecule Identification with MOLGEN and Mass Spectrometry

This paper details the MOLGEN entries for the 2012 CASMI contest for small molecule identification to demonstrate structure elucidation using structure generation approaches. Different MOLGEN programs were used for different categories, including MOLGEN–MS/MS for Category 1, MOLGEN 3.5 and 5.0 for C...

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Detalles Bibliográficos
Autores principales: Meringer, Markus, Schymanski, Emma L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901272/
https://www.ncbi.nlm.nih.gov/pubmed/24958000
http://dx.doi.org/10.3390/metabo3020440
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author Meringer, Markus
Schymanski, Emma L.
author_facet Meringer, Markus
Schymanski, Emma L.
author_sort Meringer, Markus
collection PubMed
description This paper details the MOLGEN entries for the 2012 CASMI contest for small molecule identification to demonstrate structure elucidation using structure generation approaches. Different MOLGEN programs were used for different categories, including MOLGEN–MS/MS for Category 1, MOLGEN 3.5 and 5.0 for Category 2 and MOLGEN–MS for Categories 3 and 4. A greater focus is given to Categories 1 and 2, as most CASMI participants entered these categories. The settings used and the reasons behind them are described in detail, while various evaluations are used to put these results into perspective. As one author was also an organiser of CASMI, these submissions were not part of the official CASMI competition, but this paper provides an insight into how unknown identification could be performed using structure generation approaches. The approaches are semi-automated (category dependent) and benefit greatly from user experience. Thus, the results presented and discussed here may be better than those an inexperienced user could obtain with MOLGEN programs.
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spelling pubmed-39012722014-05-27 Small Molecule Identification with MOLGEN and Mass Spectrometry Meringer, Markus Schymanski, Emma L. Metabolites Article This paper details the MOLGEN entries for the 2012 CASMI contest for small molecule identification to demonstrate structure elucidation using structure generation approaches. Different MOLGEN programs were used for different categories, including MOLGEN–MS/MS for Category 1, MOLGEN 3.5 and 5.0 for Category 2 and MOLGEN–MS for Categories 3 and 4. A greater focus is given to Categories 1 and 2, as most CASMI participants entered these categories. The settings used and the reasons behind them are described in detail, while various evaluations are used to put these results into perspective. As one author was also an organiser of CASMI, these submissions were not part of the official CASMI competition, but this paper provides an insight into how unknown identification could be performed using structure generation approaches. The approaches are semi-automated (category dependent) and benefit greatly from user experience. Thus, the results presented and discussed here may be better than those an inexperienced user could obtain with MOLGEN programs. MDPI 2013-05-28 /pmc/articles/PMC3901272/ /pubmed/24958000 http://dx.doi.org/10.3390/metabo3020440 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Meringer, Markus
Schymanski, Emma L.
Small Molecule Identification with MOLGEN and Mass Spectrometry
title Small Molecule Identification with MOLGEN and Mass Spectrometry
title_full Small Molecule Identification with MOLGEN and Mass Spectrometry
title_fullStr Small Molecule Identification with MOLGEN and Mass Spectrometry
title_full_unstemmed Small Molecule Identification with MOLGEN and Mass Spectrometry
title_short Small Molecule Identification with MOLGEN and Mass Spectrometry
title_sort small molecule identification with molgen and mass spectrometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901272/
https://www.ncbi.nlm.nih.gov/pubmed/24958000
http://dx.doi.org/10.3390/metabo3020440
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