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Tackling CASMI 2012: Solutions from MetFrag and MetFusion

The task in the critical assessment of small molecule identification (CASMI) contest category 2 was to determine the identification of (initially) unknown compounds for which high-resolution tandem mass spectra were published. We focused on computer-assisted methods that tried to correctly identify...

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Detalles Bibliográficos
Autores principales: Ruttkies, Christoph, Gerlich, Michael, Neumann, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901291/
https://www.ncbi.nlm.nih.gov/pubmed/24958142
http://dx.doi.org/10.3390/metabo3030623
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author Ruttkies, Christoph
Gerlich, Michael
Neumann, Steffen
author_facet Ruttkies, Christoph
Gerlich, Michael
Neumann, Steffen
author_sort Ruttkies, Christoph
collection PubMed
description The task in the critical assessment of small molecule identification (CASMI) contest category 2 was to determine the identification of (initially) unknown compounds for which high-resolution tandem mass spectra were published. We focused on computer-assisted methods that tried to correctly identify the compound automatically and entered the contest with MetFrag and MetFusion to score candidate structures retrieved from the PubChem structure database. MetFrag was combined with the metabolite-likeness score, which helped to improve the performance for the natural product challenges. We present the results, discuss the performance, and give details of how to interpret the MetFrag and MetFusion output.
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spelling pubmed-39012912014-05-27 Tackling CASMI 2012: Solutions from MetFrag and MetFusion Ruttkies, Christoph Gerlich, Michael Neumann, Steffen Metabolites Article The task in the critical assessment of small molecule identification (CASMI) contest category 2 was to determine the identification of (initially) unknown compounds for which high-resolution tandem mass spectra were published. We focused on computer-assisted methods that tried to correctly identify the compound automatically and entered the contest with MetFrag and MetFusion to score candidate structures retrieved from the PubChem structure database. MetFrag was combined with the metabolite-likeness score, which helped to improve the performance for the natural product challenges. We present the results, discuss the performance, and give details of how to interpret the MetFrag and MetFusion output. MDPI 2013-08-05 /pmc/articles/PMC3901291/ /pubmed/24958142 http://dx.doi.org/10.3390/metabo3030623 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
Ruttkies, Christoph
Gerlich, Michael
Neumann, Steffen
Tackling CASMI 2012: Solutions from MetFrag and MetFusion
title Tackling CASMI 2012: Solutions from MetFrag and MetFusion
title_full Tackling CASMI 2012: Solutions from MetFrag and MetFusion
title_fullStr Tackling CASMI 2012: Solutions from MetFrag and MetFusion
title_full_unstemmed Tackling CASMI 2012: Solutions from MetFrag and MetFusion
title_short Tackling CASMI 2012: Solutions from MetFrag and MetFusion
title_sort tackling casmi 2012: solutions from metfrag and metfusion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901291/
https://www.ncbi.nlm.nih.gov/pubmed/24958142
http://dx.doi.org/10.3390/metabo3030623
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