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MetaboHunter: an automatic approach for identification of metabolites from (1)H-NMR spectra of complex mixtures

ABSTRACT: BACKGROUND: One-dimensional (1)H-NMR spectroscopy is widely used for high-throughput characterization of metabolites in complex biological mixtures. However, the accurate identification of individual compounds is still a challenging task, particularly in spectral regions with higher peak d...

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Autores principales: Tulpan, Dan, Léger, Serge, Belliveau, Luc, Culf, Adrian, Čuperlović-Culf, Miroslava
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3213069/
https://www.ncbi.nlm.nih.gov/pubmed/21999117
http://dx.doi.org/10.1186/1471-2105-12-400
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author Tulpan, Dan
Léger, Serge
Belliveau, Luc
Culf, Adrian
Čuperlović-Culf, Miroslava
author_facet Tulpan, Dan
Léger, Serge
Belliveau, Luc
Culf, Adrian
Čuperlović-Culf, Miroslava
author_sort Tulpan, Dan
collection PubMed
description ABSTRACT: BACKGROUND: One-dimensional (1)H-NMR spectroscopy is widely used for high-throughput characterization of metabolites in complex biological mixtures. However, the accurate identification of individual compounds is still a challenging task, particularly in spectral regions with higher peak densities. The need for automatic tools to facilitate and further improve the accuracy of such tasks, while using increasingly larger reference spectral libraries becomes a priority of current metabolomics research. RESULTS: We introduce a web server application, called MetaboHunter, which can be used for automatic assignment of (1)H-NMR spectra of metabolites. MetaboHunter provides methods for automatic metabolite identification based on spectra or peak lists with three different search methods and with possibility for peak drift in a user defined spectral range. The assignment is performed using as reference libraries manually curated data from two major publicly available databases of NMR metabolite standard measurements (HMDB and MMCD). Tests using a variety of synthetic and experimental spectra of single and multi metabolite mixtures show that MetaboHunter is able to identify, in average, more than 80% of detectable metabolites from spectra of synthetic mixtures and more than 50% from spectra corresponding to experimental mixtures. This work also suggests that better scoring functions improve by more than 30% the performance of MetaboHunter's metabolite identification methods. CONCLUSIONS: MetaboHunter is a freely accessible, easy to use and user friendly (1)H-NMR-based web server application that provides efficient data input and pre-processing, flexible parameter settings, fast and automatic metabolite fingerprinting and results visualization via intuitive plotting and compound peak hit maps. Compared to other published and freely accessible metabolomics tools, MetaboHunter implements three efficient methods to search for metabolites in manually curated data from two reference libraries. AVAILABILITY: http://www.nrcbioinformatics.ca/metabohunter/
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spelling pubmed-32130692011-11-14 MetaboHunter: an automatic approach for identification of metabolites from (1)H-NMR spectra of complex mixtures Tulpan, Dan Léger, Serge Belliveau, Luc Culf, Adrian Čuperlović-Culf, Miroslava BMC Bioinformatics Research Article ABSTRACT: BACKGROUND: One-dimensional (1)H-NMR spectroscopy is widely used for high-throughput characterization of metabolites in complex biological mixtures. However, the accurate identification of individual compounds is still a challenging task, particularly in spectral regions with higher peak densities. The need for automatic tools to facilitate and further improve the accuracy of such tasks, while using increasingly larger reference spectral libraries becomes a priority of current metabolomics research. RESULTS: We introduce a web server application, called MetaboHunter, which can be used for automatic assignment of (1)H-NMR spectra of metabolites. MetaboHunter provides methods for automatic metabolite identification based on spectra or peak lists with three different search methods and with possibility for peak drift in a user defined spectral range. The assignment is performed using as reference libraries manually curated data from two major publicly available databases of NMR metabolite standard measurements (HMDB and MMCD). Tests using a variety of synthetic and experimental spectra of single and multi metabolite mixtures show that MetaboHunter is able to identify, in average, more than 80% of detectable metabolites from spectra of synthetic mixtures and more than 50% from spectra corresponding to experimental mixtures. This work also suggests that better scoring functions improve by more than 30% the performance of MetaboHunter's metabolite identification methods. CONCLUSIONS: MetaboHunter is a freely accessible, easy to use and user friendly (1)H-NMR-based web server application that provides efficient data input and pre-processing, flexible parameter settings, fast and automatic metabolite fingerprinting and results visualization via intuitive plotting and compound peak hit maps. Compared to other published and freely accessible metabolomics tools, MetaboHunter implements three efficient methods to search for metabolites in manually curated data from two reference libraries. AVAILABILITY: http://www.nrcbioinformatics.ca/metabohunter/ BioMed Central 2011-10-14 /pmc/articles/PMC3213069/ /pubmed/21999117 http://dx.doi.org/10.1186/1471-2105-12-400 Text en Copyright ©2011 Tulpan et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tulpan, Dan
Léger, Serge
Belliveau, Luc
Culf, Adrian
Čuperlović-Culf, Miroslava
MetaboHunter: an automatic approach for identification of metabolites from (1)H-NMR spectra of complex mixtures
title MetaboHunter: an automatic approach for identification of metabolites from (1)H-NMR spectra of complex mixtures
title_full MetaboHunter: an automatic approach for identification of metabolites from (1)H-NMR spectra of complex mixtures
title_fullStr MetaboHunter: an automatic approach for identification of metabolites from (1)H-NMR spectra of complex mixtures
title_full_unstemmed MetaboHunter: an automatic approach for identification of metabolites from (1)H-NMR spectra of complex mixtures
title_short MetaboHunter: an automatic approach for identification of metabolites from (1)H-NMR spectra of complex mixtures
title_sort metabohunter: an automatic approach for identification of metabolites from (1)h-nmr spectra of complex mixtures
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3213069/
https://www.ncbi.nlm.nih.gov/pubmed/21999117
http://dx.doi.org/10.1186/1471-2105-12-400
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