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Synergistic drug combinations tend to improve therapeutically relevant selectivity
- Source :
- Nature biotechnology
- Publication Year :
- 2009
-
Abstract
- Prevailing drug discovery approaches focus on compounds with molecular selectivity, inhibiting disease-relevant targets over others in vitro. However in vivo, many such agents are not therapeutically selective, either because of undesirable activity at effective doses or because the biological system responds to compensate. In theory, drug combinations should permit increased control of such complex biology, but there is a common concern that therapeutic synergy will generally be mirrored by synergistic side-effects. Here we provide evidence, from 94,110 multi-dose combination experiments representing diverse disease areas and large scale flux balance simulations of inhibited bacterial metabolism, that multi-target synergies are more specific than single agent activities to particular cellular contexts. Using an anti-inflammatory combination, we show how multi-target synergy can achieve therapeutic selectivity in animals through differential target expression. Synergistic combinations can increase the number of selective therapies using the current pharmacopeia, and offer opportunities for more precise control of biological systems.
- Subjects :
- Drug
Male
Drug-Related Side Effects and Adverse Reactions
media_common.quotation_subject
Rat model
Biomedical Engineering
Bioengineering
Computational biology
Pharmacology
Biology
Applied Microbiology and Biotechnology
Models, Biological
Article
Rats, Sprague-Dawley
03 medical and health sciences
0302 clinical medicine
Cell Line, Tumor
Drug Discovery
Escherichia coli
Animals
Humans
Single agent
Differential expression
030304 developmental biology
media_common
0303 health sciences
Drug discovery
Reproducibility of Results
Drug Synergism
3. Good health
Rats
Sprague dawley
Disease Models, Animal
Drug activity
Pharmaceutical Preparations
030220 oncology & carcinogenesis
Molecular Medicine
Context specificity
Drug Therapy, Combination
Biotechnology
Subjects
Details
- ISSN :
- 15461696
- Volume :
- 27
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Nature biotechnology
- Accession number :
- edsair.doi.dedup.....64e70ac993ec2dec720347a97f3e6b9f