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HMDB 4.0: the human metabolome database for 2018
The Human Metabolome Database or HMDB (www.hmdb.ca) is a web-enabled metabolomic database containing comprehensive information about human metabolites along with their biological roles, physiological concentrations, disease associations, chemical reactions, metabolic pathways, and reference spectra....
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753273/ https://www.ncbi.nlm.nih.gov/pubmed/29140435 http://dx.doi.org/10.1093/nar/gkx1089 |
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author | Wishart, David S Feunang, Yannick Djoumbou Marcu, Ana Guo, An Chi Liang, Kevin Vázquez-Fresno, Rosa Sajed, Tanvir Johnson, Daniel Li, Carin Karu, Naama Sayeeda, Zinat Lo, Elvis Assempour, Nazanin Berjanskii, Mark Singhal, Sandeep Arndt, David Liang, Yonjie Badran, Hasan Grant, Jason Serra-Cayuela, Arnau Liu, Yifeng Mandal, Rupa Neveu, Vanessa Pon, Allison Knox, Craig Wilson, Michael Manach, Claudine Scalbert, Augustin |
author_facet | Wishart, David S Feunang, Yannick Djoumbou Marcu, Ana Guo, An Chi Liang, Kevin Vázquez-Fresno, Rosa Sajed, Tanvir Johnson, Daniel Li, Carin Karu, Naama Sayeeda, Zinat Lo, Elvis Assempour, Nazanin Berjanskii, Mark Singhal, Sandeep Arndt, David Liang, Yonjie Badran, Hasan Grant, Jason Serra-Cayuela, Arnau Liu, Yifeng Mandal, Rupa Neveu, Vanessa Pon, Allison Knox, Craig Wilson, Michael Manach, Claudine Scalbert, Augustin |
author_sort | Wishart, David S |
collection | PubMed |
description | The Human Metabolome Database or HMDB (www.hmdb.ca) is a web-enabled metabolomic database containing comprehensive information about human metabolites along with their biological roles, physiological concentrations, disease associations, chemical reactions, metabolic pathways, and reference spectra. First described in 2007, the HMDB is now considered the standard metabolomic resource for human metabolic studies. Over the past decade the HMDB has continued to grow and evolve in response to emerging needs for metabolomics researchers and continuing changes in web standards. This year's update, HMDB 4.0, represents the most significant upgrade to the database in its history. For instance, the number of fully annotated metabolites has increased by nearly threefold, the number of experimental spectra has grown by almost fourfold and the number of illustrated metabolic pathways has grown by a factor of almost 60. Significant improvements have also been made to the HMDB’s chemical taxonomy, chemical ontology, spectral viewing, and spectral/text searching tools. A great deal of brand new data has also been added to HMDB 4.0. This includes large quantities of predicted MS/MS and GC–MS reference spectral data as well as predicted (physiologically feasible) metabolite structures to facilitate novel metabolite identification. Additional information on metabolite-SNP interactions and the influence of drugs on metabolite levels (pharmacometabolomics) has also been added. Many other important improvements in the content, the interface, and the performance of the HMDB website have been made and these should greatly enhance its ease of use and its potential applications in nutrition, biochemistry, clinical chemistry, clinical genetics, medicine, and metabolomics science. |
format | Online Article Text |
id | pubmed-5753273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57532732018-01-05 HMDB 4.0: the human metabolome database for 2018 Wishart, David S Feunang, Yannick Djoumbou Marcu, Ana Guo, An Chi Liang, Kevin Vázquez-Fresno, Rosa Sajed, Tanvir Johnson, Daniel Li, Carin Karu, Naama Sayeeda, Zinat Lo, Elvis Assempour, Nazanin Berjanskii, Mark Singhal, Sandeep Arndt, David Liang, Yonjie Badran, Hasan Grant, Jason Serra-Cayuela, Arnau Liu, Yifeng Mandal, Rupa Neveu, Vanessa Pon, Allison Knox, Craig Wilson, Michael Manach, Claudine Scalbert, Augustin Nucleic Acids Res Database Issue The Human Metabolome Database or HMDB (www.hmdb.ca) is a web-enabled metabolomic database containing comprehensive information about human metabolites along with their biological roles, physiological concentrations, disease associations, chemical reactions, metabolic pathways, and reference spectra. First described in 2007, the HMDB is now considered the standard metabolomic resource for human metabolic studies. Over the past decade the HMDB has continued to grow and evolve in response to emerging needs for metabolomics researchers and continuing changes in web standards. This year's update, HMDB 4.0, represents the most significant upgrade to the database in its history. For instance, the number of fully annotated metabolites has increased by nearly threefold, the number of experimental spectra has grown by almost fourfold and the number of illustrated metabolic pathways has grown by a factor of almost 60. Significant improvements have also been made to the HMDB’s chemical taxonomy, chemical ontology, spectral viewing, and spectral/text searching tools. A great deal of brand new data has also been added to HMDB 4.0. This includes large quantities of predicted MS/MS and GC–MS reference spectral data as well as predicted (physiologically feasible) metabolite structures to facilitate novel metabolite identification. Additional information on metabolite-SNP interactions and the influence of drugs on metabolite levels (pharmacometabolomics) has also been added. Many other important improvements in the content, the interface, and the performance of the HMDB website have been made and these should greatly enhance its ease of use and its potential applications in nutrition, biochemistry, clinical chemistry, clinical genetics, medicine, and metabolomics science. Oxford University Press 2018-01-04 2017-11-11 /pmc/articles/PMC5753273/ /pubmed/29140435 http://dx.doi.org/10.1093/nar/gkx1089 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Wishart, David S Feunang, Yannick Djoumbou Marcu, Ana Guo, An Chi Liang, Kevin Vázquez-Fresno, Rosa Sajed, Tanvir Johnson, Daniel Li, Carin Karu, Naama Sayeeda, Zinat Lo, Elvis Assempour, Nazanin Berjanskii, Mark Singhal, Sandeep Arndt, David Liang, Yonjie Badran, Hasan Grant, Jason Serra-Cayuela, Arnau Liu, Yifeng Mandal, Rupa Neveu, Vanessa Pon, Allison Knox, Craig Wilson, Michael Manach, Claudine Scalbert, Augustin HMDB 4.0: the human metabolome database for 2018 |
title | HMDB 4.0: the human metabolome database for 2018 |
title_full | HMDB 4.0: the human metabolome database for 2018 |
title_fullStr | HMDB 4.0: the human metabolome database for 2018 |
title_full_unstemmed | HMDB 4.0: the human metabolome database for 2018 |
title_short | HMDB 4.0: the human metabolome database for 2018 |
title_sort | hmdb 4.0: the human metabolome database for 2018 |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753273/ https://www.ncbi.nlm.nih.gov/pubmed/29140435 http://dx.doi.org/10.1093/nar/gkx1089 |
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