|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 center||University of Alberta and The Metabolomics Innovation Centre, Alberta, Canada|
|Laboratory||Dr. David Wishart|
|Primary citation||DrugBank: a comprehensive resource for in silico drug discovery and exploration.|
|Every 2 years with monthly corrections and updates|
|Curation policy||Manually 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. 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. DrugBank has used content from Wikipedia; Wikipedia also often links to Drugbank, posing potential circular reporting issues.
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. 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.
Four additional databases, HMDB, T3DB, SMPDB  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.
The first version of DrugBank was released in 2006. This early release contained relatively modest information about 841 FDA-approved small molecule drugs and 113 biotech drugs. It also included information on 2133 drug targets. The second version of DrugBank was released in 2009. This greatly expanded and improved version of the database included 1344 approved small molecule drugs and 123 biotech drugs as well as 3037 unique drug targets. Version 2.0 also included, for the first time, withdrawn drugs and illicit drugs, extensive food-drug and drug-drug interactions as well as ADMET (absorption, distribution, metabolism, excretion and toxicity) parameters. Version 3.0 was released in 2011. This version contained 1424 approved small molecule drugs and 132 biotech drugs as well as >4000 unique drug targets. Version 3.0 also included drug transporter data, drug pathway data, drug pricing, patent and manufacturing data as well as data on >5000 experimental drugs. Version 4.0 was released in 2014. This version included 1558 FDA-approved small molecule drugs, 155 biotech drugs and 4200 unique drug targets. Version 4.0 also incorporated extensive information on drug metabolites (structures and reactions), drug taxonomy, drug spectra, drug binding constants and drug synthesis information. Table 1 provides a more complete statistical summary of the history of DrugBank’s development.
|No. of data fields per DrugCard||88||108||148||208|
|No. of search types||8||12||16||18|
|No. of illustrated drug-action pathways||0||0||168||232|
|No. of drugs with metabolizing enzyme data||0||0||762||1,037|
|No. of drug metabolites with structures||0||0||0||1,239|
|No. of drug-metabolism reactions||0||0||0||1,308|
|No. of illustrated drug metabolism pathways||0||0||0||53|
|No. of drugs with drug transporter data||0||0||516||623|
|No. of drugs with taxonomic classification information||0||0||0||6,713|
|No. of SNP-associated drug effects||0||0||113||201|
|No. of drugs with patent/pricing/manufacturer data||0||0||1,208||1,450|
|No. of food–drug interactions||0||714||1,039||1,180|
|No. of drug–drug interactions||0||13,242||13,795||14,150|
|No. of ADMET parameters (Caco-2, LogS)||0||276||890||6,667|
|No. of QSAR parameters per drug||5||6||14||23|
|No. of drugs with drug-target binding constant data||0||0||0||791|
|No. of drugs with NMR spectra||0||0||0||306|
|No. of drugs with MS spectra||0||0||0||384|
|No. of drugs with chemical synthesis information||0||38||38||1,285|
|No. of FDA-approved small molecule drugs||841||1,344||1,424||1,558|
|No. of biotech drugs||113||123||132||155|
|No. of nutraceutical drugs||61||69||82||87|
|No. of withdrawn drugs||0||57||68||78|
|No. of illicit drugs||0||188||189||190|
|No. of experimental drugs||2,894||3,116||5,210||6,009|
|Total No. of experimental and FDA small molecule drugs||3,796||4,774||6,684||7,561|
|Total No. of experimental and FDA drugs (all types)||3,909||4,897||6,816||7,713|
|No. of all drug targets (unique)||2,133||3,037||4,326||4,115|
|No. of approved-drug enzymes/carriers (unique)||0||0||164||245|
|No. of all drug enzymes/carriers (unique)||0||0||169||253|
|No. of external database links||12||18||31||33|
Scope and access
All data in DrugBank is derived from public non-proprietary sources. Nearly every data item is fully traceable and explicitly referenced to the original source. DrugBank data is available through a public web interface.
Users may query DrugBank in a number of ways:
- Simple text queries of the entire textual component of the database are supported. Clicking on the Browse button generates a tabular synopsis of DrugBank's content. This view allows users to casually scroll through the database or re-sort its contents (Fig. 2).
- Clicking on a given DrugCard button brings up the full data content for the corresponding drug. A complete explanation of all the DrugCard fields and sources is given there.
- The PharmaBrowse button allows users to browse through drugs as grouped by their indication. This is particularly useful for pharmacists and physicians, but also for pharmaceutical researchers looking for potential drug leads.
- The ChemQuery button allows users to draw (using ChemAxon applets) or write (as a SMILES string) a chemical compound and to search DrugBank for chemicals similar or identical to the query compound (Fig. 3).
- The TextQuery button supports a more sophisticated text search (partial word matches, case sensitive, misspellings, etc.) of the text portion of DrugBank.
- The SeqSearch button allows users to conduct BLAST (protein) sequence searches of the 18,000 sequences contained in DrugBank. Both single and multiple sequence (i.e. whole proteome) BLAST queries are supported.
- The Data Extractor button opens an easy-to-use relational query search tool that allows users to select or search over various combinations of subfields. The Data Extractor is the most sophisticated search tool for DrugBank.
Users may track the latest news about DrugBank through regular news feeds through its website as well as through Twitter and Facebook.
|Wikidata has the property:
- Drug metabolism
- List of biological databases
- Therapeutic Targets Database
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Knox, C; Law, V; Jewison, T; Liu, P; Ly, S; Frolkis, A; Pon, A; Banco, K; Mak, C; Neveu, V; Djoumbou, Y; Eisner, R; Guo, AC; Wishart, DS. (Jan 2011). "DrugBank 3.0: a comprehensive resource for 'omics' research on drugs". Nucleic Acids Research. 39 (Database issue): D1035-41. doi:10.1093/nar/gkq1126. PMC 3013709. PMID 21059682.