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HMDB 4.0: the human metabolome database for 2018

Authors :
Allison Pon
Carin Li
Zinat Sayeeda
An Chi Guo
Craig Knox
Hasan Badran
David Arndt
Vanessa Neveu
Mark V. Berjanskii
Kevin Y. H. Liang
Yannick Djoumbou Feunang
Augustin Scalbert
Naama Karu
Claudine Manach
Rosa Vázquez-Fresno
Arnau Serra-Cayuela
Jason R. Grant
Ana Marcu
Sandeep Singhal
Yongjie Liang
Rupa Mandal
Nazanin Assempour
Yifeng Liu
David S. Wishart
Elvis J. Lo
Michael Wilson
Daniel Johnson
Tanvir Sajed
Department of Biological Sciences
The Open University [Milton Keynes] (OU)
Department of Computer Science
Duke University [Durham]
Faculty of Pharmacy and Pharmaceutical Sciences
University of Alberta
International Agency for Cancer Research (IACR)
OMx Personal Health Analytics
Unité de Nutrition Humaine - Clermont Auvergne (UNH)
Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA)
Genome Alberta (a division of Genome Canada)
The Canadian Institutes of Health Research (CIHR)
Western Economic Diversification (WED)
Alberta Innovates Health Solutions (AIHS). Funding for open access charge: Genome Canada.
Wishart, David S
Unité de Nutrition Humaine (UNH)
Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])
Source :
Nucleic Acids Research, Nucleic Acids Research, Oxford University Press, 2018, 46 (D1), pp.D608-D617. ⟨10.1093/nar/gkx1089⟩, Nucleic Acids Research D1 (46), D608-D617. (2018), Nucleic Acids Research, 2018, 46 (D1), pp.D608-D617. ⟨10.1093/nar/gkx1089⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

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.

Details

Language :
English
ISSN :
03051048 and 13624962
Database :
OpenAIRE
Journal :
Nucleic Acids Research, Nucleic Acids Research, Oxford University Press, 2018, 46 (D1), pp.D608-D617. ⟨10.1093/nar/gkx1089⟩, Nucleic Acids Research D1 (46), D608-D617. (2018), Nucleic Acids Research, 2018, 46 (D1), pp.D608-D617. ⟨10.1093/nar/gkx1089⟩
Accession number :
edsair.doi.dedup.....f79b6c6e34404d84dc7341241160ff8e
Full Text :
https://doi.org/10.1093/nar/gkx1089⟩