HMDB 5.0: the Human Metabolome Database for 2022

Author:

Wishart David S1234ORCID,Guo AnChi1,Oler Eponine1,Wang Fei2,Anjum Afia2,Peters Harrison1,Dizon Raynard1,Sayeeda Zinat2,Tian Siyang1,Lee Brian L1,Berjanskii Mark1,Mah Robert1,Yamamoto Mai1,Jovel Juan1,Torres-Calzada Claudia1,Hiebert-Giesbrecht Mickel1,Lui Vicki W1,Varshavi Dorna1,Varshavi Dorsa1,Allen Dana1,Arndt David1,Khetarpal Nitya1,Sivakumaran Aadhavya1,Harford Karxena1,Sanford Selena1,Yee Kristen1,Cao Xuan1,Budinski Zachary1,Liigand Jaanus1,Zhang Lun1,Zheng Jiamin1,Mandal Rupasri1,Karu Naama5,Dambrova Maija6,Schiöth Helgi B78,Greiner Russell2,Gautam Vasuk1

Affiliation:

1. Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada

2. Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8, Canada

3. Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada

4. Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB T6G 2H7, Canada

5. Leiden Academic Centre for Drug Research LACDR/Analytical Biosciences, Leiden University, Leiden, Netherlands

6. Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia

7. Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden

8. Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia

Abstract

Abstract The Human Metabolome Database or HMDB (https://hmdb.ca) has been providing comprehensive reference information about human metabolites and their associated biological, physiological and chemical properties since 2007. Over the past 15 years, the HMDB has grown and evolved significantly to meet the needs of the metabolomics community and respond to continuing changes in internet and computing technology. This year's update, HMDB 5.0, brings a number of important improvements and upgrades to the database. These should make the HMDB more useful and more appealing to a larger cross-section of users. In particular, these improvements include: (i) a significant increase in the number of metabolite entries (from 114 100 to 217 920 compounds); (ii) enhancements to the quality and depth of metabolite descriptions; (iii) the addition of new structure, spectral and pathway visualization tools; (iv) the inclusion of many new and much more accurately predicted spectral data sets, including predicted NMR spectra, more accurately predicted MS spectra, predicted retention indices and predicted collision cross section data and (v) enhancements to the HMDB’s search functions to facilitate better compound identification. Many other minor improvements and updates to the content, the interface, and general performance of the HMDB website have also been made. Overall, we believe these upgrades and updates should greatly enhance the HMDB’s ease of use and its potential applications not only in human metabolomics but also in exposomics, lipidomics, nutritional science, biochemistry and clinical chemistry.

Funder

Genome Alberta

Canada Foundation for Innovation

Natural Sciences and Engineering Research Council of Canada

Canadian Institutes of Health Research

Alberta Machine Intelligence Institute

Publisher

Oxford University Press (OUP)

Subject

Genetics

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