PROMISCUOUS: a database for network-based drug-repositioning

The procedure of drug approval is time-consuming, costly and risky. Accidental findings regarding multispecificity 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 With PROMISCUOUS we provide an exhaustive set of drugs (25 000), including withdrawn or experimental drugs, annotated with drug–protein and protein–protein relationships (21 500/104 000) compiled from public resources via text and data mining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. PROM...

• Type: Journal
• Year: 2011
• Where: NAR
• Authors: Joachim von Eichborn, Manuela S. Murgueitio, Mathias Dunkel, Soeren Koerner, Philip E. Bourne, Robert Preissner
• Keywords: Approved Drugs, Computer Vision, Drugs, NAR 2011, So-called Off-target Effects