DescriptionDrug database
Data types
Chemical structures, small molecule drugs, biotech drugs, drug targets, drug transporters, drug target sequences, drug target SNPs, drug metabolites, drug descriptions, disease associations, dosage data, food and drug interactions, adverse drug reactions, pharmacology, mechanisms of action, drug metabolism, chemical synthesis, patent and pricing data, chemical properties, nomenclature, synonyms, chemical taxonomy, drug NMR spectra, drug GC-MS spectra, drug LC-MS spectra
Research centerUniversity of Alberta and The Metabolomics Innovation Centre, Alberta, Canada
LaboratoryDavid S. Wishart
Primary citationDrugBank: a comprehensive resource for in silico drug discovery and exploration.[1]
Download URLwww.drugbank.ca/downloads
Data release
Every 2 years with monthly corrections and updates
Curation policyManually curated

The DrugBank database is a comprehensive, freely accessible, online database containing information on drugs and drug targets created and maintained by the University of Alberta and The Metabolomics Innovation Centre located in Alberta, Canada.[1] As both a bioinformatics and a cheminformatics resource, DrugBank combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information.[1][2] DrugBank has used content from Wikipedia;[3] Wikipedia also often links to Drugbank, posing potential circular reporting issues.[3]

The DrugBank Online website is available to the public as a free-to-access resource. However, use and re-distribution of content from DrugBank Online or the underlying DrugBank Data, in whole or part, and for any purpose requires a license. Academic users can apply for a free license for certain use cases while all other users require a paid license.

The latest release of the database (version 5.0) contains 9591 drug entries including 2037 FDA-approved small molecule drugs, 241 FDA-approved biotech (protein/peptide) drugs, 96 nutraceuticals and over 6000 experimental drugs.[4] Additionally, 4270 non-redundant protein (i.e. drug target/enzyme/transporter/carrier) sequences are linked to these drug entries. Each DrugCard entry (Fig. 1) contains more than 200 data fields with half of the information being devoted to drug/chemical data and the other half devoted to drug target or protein data.[4]

Four additional databases, HMDB,[5] T3DB,[6] SMPDB[7] and FooDB are also part of a general suite of metabolomic/cheminformatic databases. HMDB contains equivalent information on more than 40,000 human metabolites, T3DB contains information on 3100 common toxins and environmental pollutants, SMPDB contains pathway diagrams for nearly 700 human metabolic pathways and disease pathways, while FooDB contains equivalent information on ~28,000 food components and food additives.

  1. ^ a b c Wishart, DS; Knox C; Guo AC; et al. (Jan 2006). "DrugBank: a comprehensive resource for in silico drug discovery and exploration". Nucleic Acids Research. 34 (Database issue): D668-72. doi:10.1093/nar/gkj067. PMC 1347430. PMID 16381955.
  2. ^ Wishart, DS; Knox C; Guo AC; et al. (Jan 2008). "DrugBank: a knowledgebase for drugs, drug actions and drug targets". Nucleic Acids Research. 36 (Database issue): D901-6. doi:10.1093/nar/gkm958. PMC 2238889. PMID 18048412.
  3. ^ a b Harrison, Stephen (7 March 2019). "The Dizzying Problem of Citationless Wikipedia "Facts" That Take On a Life of Their Own". Slate Magazine. Retrieved 9 November 2019.
  4. ^ a b Law, V; Knox, C; Djoumbou, Y; Jewison, T; Guo, AC; Liu, Y; Maciejewski, A; Arndt, D; Wilson, M; Neveu, V; Tang, A; Gabriel, G; Ly, C; Adamjee, S; Dame, ZT; Han, B; Zhou, Y; Wishart, DS (Jan 2014). "DrugBank 5.0: shedding new light on drug metabolism". Nucleic Acids Research. 42 (Database issue): D1091-7. doi:10.1093/nar/gkt1068. PMC 3965102. PMID 24203711.
  5. ^ Wishart, DS; Guo, AC; Eisner, R; Young, N; Gautam, B; Hau, DD; Psychogios, N; Dong, E; Bouatra, S; Mandal, R; Sinelnikov, I; Xia, J; Jia, L; Cruz, JA; Lim, E; Sobsey, CA; Shrivastava, S; Huang, P; Liu, P; Fang, L; Peng, J; Fradette, R; Cheng, D; Tzur, D; Clements, M; Lewis, A; De Souza, A; Zuniga, A; Dawe, M; Xiong, Y; Clive, D; Greiner, R; Nazyrova, A; Shaykhutdinov, R; Li, L; Vogel, HJ; Forsythe, I (Jan 2009). "HMDB: a knowledgebase for the human metabolome". Nucleic Acids Research. 37 (Database issue): D603-10. doi:10.1093/nar/gkn810. PMC 2686599. PMID 18953024.
  6. ^ Lim, E; Pon A; Djoumbou Y; Knox C; Shrivastava S; Guo AC; Neveu V; Wishart DS. (Jan 2010). "T3DB: a comprehensively annotated database of common toxins and their targets". Nucleic Acids Research. 38 (Database issue): D781-6. doi:10.1093/nar/gkp934. PMC 2808899. PMID 19897546.
  7. ^ Jewison, T; Su Y; Disfany FM; et al. (Jan 2014). "Small Molecule Pathway Database". Nucleic Acids Research. 42 (Database issue): D478-84. doi:10.1093/nar/gkt1067. PMC 3965088. PMID 24203708.

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