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Updated: Jun 17, 2026

A Semi-Quantitative Drug Affinity Responsive Target Stability (DARTS) assay for studying Rapamycin/mTOR interaction
Published on: August 27, 2019
Therapeutic selectivity and the multi-node drug target
Joseph Lehar1, Andrew S Krueger, Grant R Zimmermann
1Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA. jlehar@bu.edu
Abstract:
Drug combinations are an increasingly favored strategy for increasing therapeutic windows for potential drugs, but enthusiasm for this approach is tempered by concerns that therapeutic synergy will too often be mirrored by synergistic toxicity. Here we review our recent experimental results and numerical simulations that establish the context-specificity of synergistic combinations. Thus systematic testing of chemical combinations in cell-based disease models can preferentially discover synergies with beneficial therapeutic selectivity. For an anti-inflammatory combination, we demonstrate how such selective synergy is achieved through differential expression of its targets in cells associated with therapeutic and toxic effects, and validate the combination's therapeutic relevance in animals. The narrower context specificity of synergistic combinations creates many new opportunities for such therapeutically relevant selectivity, and reinforces the realization that the most useful paradigm for a drug target is often a set of biomolecules that cooperate to produce a therapeutic response with reduced side effects.
Insights
Drug combinations can offer therapeutic benefits but risk synergistic toxicity. This study shows that synergistic drug combinations are context-specific, allowing for the discovery of treatments with improved therapeutic selectivity and reduced side effects.
Area of Science:
- Pharmacology
- Computational Biology
- Toxicology
Background:
- Drug combinations are increasingly used to enhance therapeutic efficacy.
- Concerns exist regarding synergistic toxicity mirroring therapeutic synergy.
- Understanding the context-specificity of drug synergy is crucial.
Purpose of the Study:
- To investigate the context-specificity of synergistic drug combinations.
- To identify strategies for discovering drug combinations with therapeutic selectivity.
- To validate the therapeutic relevance of selective synergistic combinations.
Main Methods:
- Experimental testing of chemical combinations in cell-based disease models.
- Numerical simulations to analyze synergistic effects.
- Differential gene expression analysis to understand target behavior.
- In vivo validation in animal models for an anti-inflammatory combination.
Main Results:
- Synergistic drug combinations exhibit context-specific effects.
- Systematic testing in disease models can identify combinations with beneficial therapeutic selectivity.
- Differential target expression in therapeutic versus toxic cells underlies selective synergy.
- An anti-inflammatory combination demonstrated therapeutic relevance in animal studies.
Conclusions:
- The context-specificity of synergistic combinations offers opportunities for therapeutically relevant selectivity.
- Targeting cooperating biomolecules can lead to improved therapeutic responses with reduced side effects.
- This approach enhances the potential of drug combinations in medicine.
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