Jump to content

DrugBank

From Wikipedia, the free encyclopedia
DrugBank
Content
DescriptionDrug database
Data types
captured
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
Contact
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]
Access
Websitewww.drugbank.com
Download URLwww.drugbank.ca/downloads
Miscellaneous
Data release
frequency
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 (TMIC) 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 6.0[4]) contains 11,891 drug entries including 4030 FDA-approved small molecule drugs, 1601 FDA-approved biotech (protein/peptide) drugs, 134 nutraceuticals and 6722 experimental drugs.[5] Additionally, 4939 non-redundant protein (i.e. drug target/enzyme/transporter/carrier) sequences are linked to these drug entries. Each DrugCard entry 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.[5]

Four additional databases, HMDB,[6] T3DB,[7] SMPDB[8] 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.

Version history

[edit]

The first version of DrugBank was released in 2006.[1] 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.[2] 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.[9] 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.[5] 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. Version 5.0 was released in 2018.[10] This version included 2100 FDA-approved small molecule drugs, 555 biotech drugs, 4563 unique drug targets. Version 5 also incorporated new data types that captures the influence of drugs on metabolite (pharmaco-metabolomic), protein (pharmaco-proteomic) and gene expression (pharmaco-transcriptomic) levels. Version 5 also added mobile device compatibility, better searching tools, data on clinical trials and drug repurposing efforts and for the first time, images of pills or medication. Version 6.0 was released n 2024.[4] In addition to the number of drug entries reported above, the number of FDA-approved drugs and investigational drugs had grown compared to Version 5. There was a large increase in the number drug-drug and drug-food interactions reported. The number of drug metabolism pathways grew substantially from 64 in Version 5 to 2721 with this last release. Experimental as well as predicted MS/MS, NMR spectra, Collision Cross Section (CCS- for MS), retention indices (RI, for gas chromatography) and retention time (RT, for liquid chromatography) were added for the small molecule drugs. Table 1 provides a more complete statistical summary of the history of DrugBank's development.

Table 1. Comparison between the coverage in DrugBank 1.0, 2.0, 3.0, 4.0, 5.0 and DrugBank 6.0.
Category 1.0 2.0 3.0 4.0 5.0 6.0
No. of data fields per DrugCard 88 108 148 208 215
No. of search types 8 12 16 18 20 23
No. of illustrated drug-action pathways 0 0 168 232 319 404
No. of drugs with metabolizing enzyme data 0 0 762 1,037 3,859
No. of drug metabolites with structures 0 0 0 1,239 1,360 3,037
No. of drug-metabolism reactions 0 0 0 1,308 1,530 3,703
No. of illustrated drug metabolism pathways 0 0 0 53 64 2,721
No. of drugs with drug transporter data 0 0 516 623 1,954 3,408
No. of drugs with taxonomic classification information 0 0 0 6,713 7,387 12,723
No. of SNP-associated drug effects 0 0 113 201 324
No. of drugs with patent/pricing/manufacturer data 0 0 1,208 1,450 1,820
No. of food–drug interactions 0 714 1,039 1,180 1,195 2,475
No. of drug–drug interactions 0 13,242 13,795 14,150 365,984 1,413,413
No. of ADMET parameters (Caco-2, LogS) 0 276 890 6,667 6,700
No. of QSAR parameters per drug 5 6 14 23 23
No. of drugs with drug-target binding constant data 0 0 0 791 1,563
No. of drugs with NMR spectra 0 0 0 306 922 1,822
No. of drugs with MS spectra 0 0 0 384 2,521 2,888
No. of drugs with chemical synthesis information 0 38 38 1,285 1,584
No. of FDA-approved small molecule drugs 841 1,344 1,424 1,558 2,110 2,751
No. of biotech drugs 113 123 132 155 555 1,601
No. of nutraceutical drugs 61 69 82 87 97 134
No. of withdrawn drugs 0 57 68 78 209 317
No. of illicit drugs 0 188 189 190 202 205
No. of experimental drugs 2,894 3,116 5,210 6,009 4,964 6,722
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 4,563 4,939
No. of approved-drug enzymes/carriers (unique) 0 0 164 245 479 526
No. of all drug enzymes/carriers (unique) 0 0 169 253 497 526
No. of external database links 12 18 31 33 35
No. of drug product pill images 0 0 0 0 3,600
No. of linked drug indicators 0 0 0 0 3,024 3,820
No. of clinical trials 0 0 0 0 245,356 464,870

Scope and access

[edit]

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.[11]

See also

[edit]

References

[edit]
  1. ^ a b c d 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. ^ a b 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 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 (2024-01-05). "DrugBank 6.0: the DrugBank Knowledgebase for 2024". Nucleic Acids Research. 52 (D1): D1265–D1275. doi:10.1093/nar/gkad976. ISSN 1362-4962. PMC 10767804. PMID 37953279.
  5. ^ a b c 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.
  6. ^ 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.
  7. ^ 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.
  8. ^ 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.
  9. ^ 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.
  10. ^ Wishart, David S.; Feunang, Yannick D.; Guo, An C.; Lo, Elvis J.; Marcu, Ana; Grant, Jason R.; Sajed, Tanvir; Johnson, Daniel; Li, Carin; Sayeeda, Zinat; Assempour, Nazanin; Iynkkaran, Ithayavani; Liu, Yifeng; Maciejewski, Adam; Gale, Nicola (2018-01-04). "DrugBank 5.0: a major update to the DrugBank database for 2018". Nucleic Acids Research. 46 (D1): D1074–D1082. doi:10.1093/nar/gkx1037. ISSN 1362-4962. PMC 5753335. PMID 29126136.
  11. ^ Wishart, David S. (2006). "DrugBank: a comprehensive resource for in silico drug discovery and exploration". Nucleic Acids Research. 34 (suppl_1): 668–672. doi:10.1093/nar/gkj067. PMC 1347430. PMID 16381955.