Cited by 3,892Computational Drug Discovery MethodsBiomedical Text Mining and OntologiesPharmacogenetics and Drug Metabolism

DrugBank: a comprehensive resource for in silico drug discovery and exploration

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Wishart, D. S.·2006·Nucleic Acids Research

Abstract

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.”
  • 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).”
  • 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).”

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  1. [9]Manber U. Bigot P. USENIX Symposium on Internet Technologies and Systems (NSITS'97) 1997 Monterey, CA 231 239

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Authors
Wishart, D. S.
Affiliations
University of Alberta (CA)
Corresponding author
Wishart, D. S.
Venue
Nucleic Acids Research
Published
2006-01-01
Volume
34
Issue
90001
Pages
D668-D672
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
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
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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