JOURNAL ARTICLE

PROMISCUOUS: a database for network-based drug-repositioning

Joachim von EichbornManuela S. MurgueitioMathias DunkelS. KoernerPhilip E. BourneRobert Preißner

Year: 2010 Journal:   Nucleic Acids Research Vol: 39 (Database)Pages: D1060-D1066   Publisher: Oxford University Press

Abstract

The procedure of drug approval is time-consuming, costly and risky. Accidental findings regarding multi-specificity of approved drugs led to block-busters in new indication areas. Therefore, the interest in systematically elucidating new areas of application for known drugs is rising. Furthermore, the knowledge, understanding and prediction of so-called off-target effects allow a rational approach to the understanding of side-effects. With PROMISCUOUS we provide an exhaustive set of drugs (25,000), including withdrawn or experimental drugs, annotated with drug-protein and protein-protein relationships (21,500/104,000) compiled from public resources via text and data mining including manual curation. Measures of structural similarity for drugs as well as known side-effects can be easily connected to protein-protein interactions to establish and analyse networks responsible for multi-pharmacology. This network-based approach can provide a starting point for drug-repositioning. PROMISCUOUS is publicly available at http://bioinformatics.charite.de/promiscuous.

Keywords:
Drug repositioning Biology Drug Drug discovery Computational biology Data curation Set (abstract data type) Approved drug Computer science Bioinformatics Database Data science Pharmacology

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226
Cited By
20.13
FWCI (Field Weighted Citation Impact)
33
Refs
1.00
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Is in top 1%
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Citation History

Topics

Computational Drug Discovery Methods
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Pharmacogenetics and Drug Metabolism
Life Sciences →  Pharmacology, Toxicology and Pharmaceutics →  Pharmacology
Bioinformatics and Genomic Networks
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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