DrugBank: a comprehensive resource for in silico drug discovery and exploration
Open accessAbstract
DrugBank is a unique bioinformatics/cheminformatics resource that combines detailed drug (i.e. chemical) data with comprehensive drug target (i.e. protein) information. The database contains >4100 drug entries including >800 FDA approved small molecule and biotech drugs as well as >3200 experimental drugs. Additionally, >14,000 protein or drug target sequences are linked to these drug entries. Each DrugCard entry contains >80 data fields with half of the information being devoted to drug/chemical data and the other half devoted to drug target or protein data. Many data fields are hyperlinked to other databases (KEGG, PubChem, ChEBI, PDB, Swiss-Prot and GenBank) and a variety of structure viewing applets. The database is fully searchable supporting extensive text, sequence, chemical structure and relational query searches. Potential applications of DrugBank include in silico drug target discovery, drug design, drug docking or screening, drug metabolism prediction, drug interaction prediction and general pharmaceutical education. DrugBank is available at http://redpoll.pharmacy.ualberta.ca/drugbank/.
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29% of genes with at least one trans-CDS association in the collapsing analyses (n = 73 of 254) are targets of currently approved drugs listed in DrugBank (expected: 14%; two-tailed binomial P = 8.7 × 10−10).
“For example, 29% of genes with at least one trans-CDS association in the collapsing analyses (n = 73 of 254) are targets of currently approved drugs listed in DrugBank (expected: 14%; two-tailed binomial P = 8.7 × 10−10)41.”
From Rare variant associations with plasma protein levels in the UK Biobank (2023) · cites this paper as [41]
DrugBank is a manually curated database that maintains profiles for >15,000 drugs, including FDA-approved and experimental drugs.
“This is a manually curated database that maintains profiles for >15,000 drugs (including FDA-approved and experimental drugs).”
From Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders (2021) · cites this paper as [73]
More than 85% (234 drugs) of newly added drugs have external identifiers in PubChem, WHO INN, DrugBank, ChEMBLdb, KEGG, UNII, UMLS, etc.
“More than 85% (234 drugs) of the newly added drugs have external identifiers in PubChem (25), World Health Organization (WHO) International Nonproprietary Names (INN), DrugBank (26), ChEMBLdb (27), KEGG (28), FDA’s Global Substance Registration System—Unique Ingredient Identifier (UNII; https://bit.ly/3MNMqwQ), Unified Medical Language System, UMLS (29), etc. (Table 1).”
From DrugCentral 2023 extends human clinical data and integrates veterinary drugs (2023) · cites this paper as [26]
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- Authors
- Wishart, D. S.
- Affiliations
- University of Alberta (CA)
- Corresponding author
- Wishart, D. S.
- ORCID
- Wishart, D. S.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-01-01
- Volume
- 34
- Issue
- 90001
- Pages
- D668-D672
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC1347430
- OpenAlex
- W2170146596
- Cited by
- 3,892
- References
- 9
- Citations by year
- 2026: 125 · 2025: 236 · 2024: 296 · 2023: 336 · 2022: 318 · 2021: 351 · 2020: 273 · 2019: 221 · 2018: 271 · 2017: 311 · 2016: 243 · 2015: 94 · 2014: 100 · 2013: 114 · 2012: 100
- FWCI
- 51.54
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- other-oa
- Locations
- Nucleic Acids Research (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Genome Canada
- Genome Prairie
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Keywords
- DrugBank, drug-target interactions, drug target proteins, computational drug discovery, drug design, drug docking, drug screening, drug metabolism prediction, drug interaction prediction, pharmacy education
- MeSH terms
- Pharmaceutical Preparations, Pharmacology, Proteins, Quality Control, User-Computer Interface, Drug Design, Databases, Factual, Drug Delivery Systems, Computational Biology, Internet
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