Drug Target Identification Using Side-Effect Similarity
Max Delbrück Center · Novo Nordisk Foundation · +1 more institution
Abstract
Targets for drugs have so far been predicted on the basis of molecular or cellular features, for example, by exploiting similarity in chemical structure or in activity across cell lines. We used phenotypic side-effect similarities to infer whether two drugs share a target. Applied to 746 marketed drugs, a network of 1018 side effect-driven drug-drug relations became apparent, 261 of which are formed by chemically dissimilar drugs from different therapeutic indications. We experimentally tested 20 of these unexpected drug-drug relations and validated 13 implied drug-target relations by in vitro binding assays, of which 11 reveal inhibition constants equal to less than 10 micromolar. Nine of these were tested…
Citation impact
- FWCI
- 78.22
- Percentile
- 100%
- References
- 27
Authors
5- MCMónica CampillosCorresponding
Max Delbrück Center, Novo Nordisk Foundation, European Molecular Biology Laboratory
- MKMichael KuhnCorresponding
Max Delbrück Center, Novo Nordisk Foundation, European Molecular Biology Laboratory
- AGAnne‐Claude Gavin
Max Delbrück Center, Novo Nordisk Foundation, European Molecular Biology Laboratory
- LJLars Juhl Jensen
Max Delbrück Center, Novo Nordisk Foundation, European Molecular Biology Laboratory
- PBPeer BorkCorresponding
Max Delbrück Center, Novo Nordisk Foundation, European Molecular Biology Laboratory
Topics & keywords
- Drug
- Computational biology
- Chemical similarity
- Similarity (geometry)
- Drug target
- Identification (biology)
- Pharmacology
- Phenotype
- Good health and well-being