Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 2,519

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

HMDB 5.0: the Human Metabolome Database for 2022

Open access
Wishart, David S, Guo, AnChi, Oler, Eponine, Wang, Fei, Anjum, Afia, Peters, Harrison, Dizon, Raynard, Sayeeda, Zinat, Tian, Siyang, Lee, Brian L, Berjanskii, Mark, Mah, Robert, Yamamoto, Mai, Jovel, Juan, Torres-Calzada, Claudia, Hiebert-Giesbrecht, Mickel, Lui, Vicki W, Varshavi, Dorna, Varshavi, Dorsa, Allen, Dana, Arndt, David, Khetarpal, Nitya, Sivakumaran, Aadhavya, Harford, Karxena, Sanford, Selena, Yee, Kristen, Cao, Xuan, Budinski, Zachary, Liigand, Jaanus, Zhang, Lun, Zheng, Jiamin, Mandal, Rupasri, Karu, Naama, Dambrova, Maija, Schiöth, Helgi B, Greiner, Russell, Gautam, Vasuk·2022·Nucleic Acids Research

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/nar/gkab1062

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 2,519

Metadata

Authors
Wishart, D. S., Guo, A., Oler, E., Wang, F., Anjum, A., Peters, H., Dizon, R., Sayeeda, Z., Tian, S., Lee, B. L., Berjanskii, M., Mah, R., Yamamoto, M., Jovel, J., Torres-Calzada, C., Hiebert-Giesbrecht, M., Lui, V. W., Varshavi, D., Varshavi, D., Allen, D., Arndt, D., Khetarpal, N., Sivakumaran, A., Harford, K., Sanford, S., Yee, K., Cao, X., Budinski, Z., Liigand, J., Zhang, L., Zheng, J., Mandal, R., Karu, N., Dambrova, M., Schiöth, H. B., Greiner, R., & Gautam, V.
Venue
Nucleic Acids Research
Published
2021-11-19
Volume
50
Issue
D1
Pages
D622-D631
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4206447491
Cited by
2,519
References
3
FWCI
86.47
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: HMDB 5.0: the Human Metabolome Database for 2022. https://app.cochat.ai/papers/10.1093/nar/gkab1062
The paper
Wishart, D. S., Guo, A., Oler, E., Wang, F., Anjum, A., Peters, H., Dizon, R., Sayeeda, Z., Tian, S., Lee, B. L., Berjanskii, M., Mah, R., Yamamoto, M., Jovel, J., Torres-Calzada, C., Hiebert-Giesbrecht, M., Lui, V. W., Varshavi, D., Varshavi, D., . . . Gautam, V. (2022). HMDB 5.0: the Human Metabolome Database for 2022. Nucleic Acids Research. https://doi.org/10.1093/nar/gkab1062

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.