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MetChem: a new pipeline to explore structural similarity across metabolite modules
SUMMARY: Computational analysis and interpretation of metabolomic profiling data remains a major challenge in translational research. Exploring metabolic biomarkers and dysregulated metabolic pathways associated with a patient phenotype could offer new opportunities for targeted therapeutic interven...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322652/ https://www.ncbi.nlm.nih.gov/pubmed/37424942 http://dx.doi.org/10.1093/bioadv/vbad053 |
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author | Abdel-Shafy, Ebtesam A Melak, Tadele MacIntyre, David A Zadra, Giorgia Zerbini, Luiz F Piazza, Silvano Cacciatore, Stefano |
author_facet | Abdel-Shafy, Ebtesam A Melak, Tadele MacIntyre, David A Zadra, Giorgia Zerbini, Luiz F Piazza, Silvano Cacciatore, Stefano |
author_sort | Abdel-Shafy, Ebtesam A |
collection | PubMed |
description | SUMMARY: Computational analysis and interpretation of metabolomic profiling data remains a major challenge in translational research. Exploring metabolic biomarkers and dysregulated metabolic pathways associated with a patient phenotype could offer new opportunities for targeted therapeutic intervention. Metabolite clustering based on structural similarity has the potential to uncover common underpinnings of biological processes. To address this need, we have developed the MetChem package. MetChem is a quick and simple tool that allows to classify metabolites in structurally related modules, thus revealing their functional information. AVAILABILITYAND IMPLEMENTATION: MetChem is freely available from the R archive CRAN (http://cran.r-project.org). The software is distributed under the GNU General Public License (version 3 or later). |
format | Online Article Text |
id | pubmed-10322652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103226522023-07-07 MetChem: a new pipeline to explore structural similarity across metabolite modules Abdel-Shafy, Ebtesam A Melak, Tadele MacIntyre, David A Zadra, Giorgia Zerbini, Luiz F Piazza, Silvano Cacciatore, Stefano Bioinform Adv Application Note SUMMARY: Computational analysis and interpretation of metabolomic profiling data remains a major challenge in translational research. Exploring metabolic biomarkers and dysregulated metabolic pathways associated with a patient phenotype could offer new opportunities for targeted therapeutic intervention. Metabolite clustering based on structural similarity has the potential to uncover common underpinnings of biological processes. To address this need, we have developed the MetChem package. MetChem is a quick and simple tool that allows to classify metabolites in structurally related modules, thus revealing their functional information. AVAILABILITYAND IMPLEMENTATION: MetChem is freely available from the R archive CRAN (http://cran.r-project.org). The software is distributed under the GNU General Public License (version 3 or later). Oxford University Press 2023-04-21 /pmc/articles/PMC10322652/ /pubmed/37424942 http://dx.doi.org/10.1093/bioadv/vbad053 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Note Abdel-Shafy, Ebtesam A Melak, Tadele MacIntyre, David A Zadra, Giorgia Zerbini, Luiz F Piazza, Silvano Cacciatore, Stefano MetChem: a new pipeline to explore structural similarity across metabolite modules |
title | MetChem: a new pipeline to explore structural similarity across metabolite modules |
title_full | MetChem: a new pipeline to explore structural similarity across metabolite modules |
title_fullStr | MetChem: a new pipeline to explore structural similarity across metabolite modules |
title_full_unstemmed | MetChem: a new pipeline to explore structural similarity across metabolite modules |
title_short | MetChem: a new pipeline to explore structural similarity across metabolite modules |
title_sort | metchem: a new pipeline to explore structural similarity across metabolite modules |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322652/ https://www.ncbi.nlm.nih.gov/pubmed/37424942 http://dx.doi.org/10.1093/bioadv/vbad053 |
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