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DrugBank 6.0: the DrugBank Knowledgebase for 2024

Open access
Knox, Craig, Wilson, Mike, Klinger, Christen M, Franklin, Mark, Oler, Eponine, Wilson, Alex, Pon, Allison, Cox, Jordan, Chin, Na Eun (Lucy), Strawbridge, Seth A, Garcia-Patino, Marysol, Kruger, Ray, Sivakumaran, Aadhavya, Sanford, Selena, Doshi, Rahil, Khetarpal, Nitya, Fatokun, Omolola, Doucet, Daphnee, Zubkowski, Ashley, Rayat, Dorsa Yahya, Jackson, Hayley, Harford, Karxena, Anjum, Afia, Zakir, Mahi, Wang, Fei, Tian, Siyang, Lee, Brian, Liigand, Jaanus, Peters, Harrison, Wang, Ruo Qi (Rachel), Nguyen, Tue, So, Denise, Sharp, Matthew, da Silva, Rodolfo, Gabriel, Cyrella, Scantlebury, Joshua, Jasinski, Marissa, Ackerman, David, Jewison, Timothy, Sajed, Tanvir, Gautam, Vasuk, Wishart, David S·2024·Nucleic Acids Research

Abstract

First released in 2006, DrugBank (https://go.drugbank.com) has grown to become the ‘gold standard’ knowledge resource for drug, drug–target and related pharmaceutical information. DrugBank is widely used across many diverse biomedical research and clinical applications, and averages more than 30 million views/year. Since its last update in 2018, we have been actively enhancing the quantity and quality of the drug data in this knowledgebase. In this latest release (DrugBank 6.0), the number of FDA approved drugs has grown from 2646 to 4563 (a 72% increase), the number of investigational drugs has grown from 3394 to 6231 (a 38% increase), the number of drug–drug interactions increased from 365 984 to 1 413 413 (a 300% increase), and the number of drug–food interactions expanded from 1195 to 2475 (a 200% increase). In addition to this notable expansion in database size, we have added thousands of new, colorful, richly annotated pathways depicting drug mechanisms and drug metabolism. Likewise, existing datasets have been significantly improved and expanded, by adding more information on drug indications, drug–drug interactions, drug–food interactions and many other relevant data types for 11 891 drugs. We have also added experimental and predicted MS/MS spectra, 1D/2D-NMR spectra, CCS (collision cross section), RT (retention time) and RI (retention index) data for 9464 of DrugBank's 11 710 small molecule drugs. These and other improvements should make DrugBank 6.0 even more useful to a much wider research audience ranging from medicinal chemists to metabolomics specialists to pharmacologists.

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Metadata

Authors
Knox, C., Wilson, M., Klinger, C. M., Franklin, M., Oler, E., Wilson, A., Pon, A., Cox, J., Chin, N. E. (., Strawbridge, S. A., Garcia-Patino, M., Kruger, R., Sivakumaran, A., Sanford, S., Doshi, R., Khetarpal, N., Fatokun, O., Doucet, D., Zubkowski, A., Rayat, D. Y., Jackson, H., Harford, K., Anjum, A., Zakir, M., Wang, F., Tian, S., Lee, B., Liigand, J., Peters, H., Wang, R. Q. (., Nguyen, T., So, D., Sharp, M., da Silva, R., Gabriel, C., Scantlebury, J., Jasinski, M., Ackerman, D., Jewison, T., Sajed, T., Gautam, V., & Wishart, D. S.
Venue
Nucleic Acids Research
Published
2023-11-11
Volume
52
Issue
D1
Pages
D1265-D1275
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4388615774
Cited by
1,727
References
19
FWCI
228.21
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: DrugBank 6.0: the DrugBank Knowledgebase for 2024. https://app.cochat.ai/papers/10.1093/nar/gkad976
The paper
Knox, C., Wilson, M., Klinger, C. M., Franklin, M., Oler, E., Wilson, A., Pon, A., Cox, J., Chin, N. E. (., Strawbridge, S. A., Garcia-Patino, M., Kruger, R., Sivakumaran, A., Sanford, S., Doshi, R., Khetarpal, N., Fatokun, O., Doucet, D., Zubkowski, A., . . . Wishart, D. S. (2024). DrugBank 6.0: the DrugBank Knowledgebase for 2024. Nucleic Acids Research. https://doi.org/10.1093/nar/gkad976

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