Related Experiment Video
Updated: Apr 7, 2026

Diagonal Method to Measure Synergy Among Any Number of Drugs
Published on: June 21, 2018
Analysis of drug combinations: current methodological landscape.
Julie Foucquier1, Mickael Guedj1
1Department of Bioinformatics and Biostatistics, Pharnext Issy-Les-Moulineaux, France.
Combination therapies offer improved efficacy and reduced toxicity, making them crucial for treating diseases. This review clarifies methods for studying drug combinations to ensure rigorous and effective therapeutic development.
Area of Science:
- Pharmacology
- Biostatistics
- Drug Development
Background:
- Combination therapies are increasingly vital for treating complex diseases, offering enhanced efficacy and reduced toxicity.
- Despite their advantages, challenges in studying drug combination effects persist, necessitating methodological clarity.
Purpose of the Study:
- To provide an overview of the current methodological landscape for studying drug combination effects.
- To elucidate essential mathematical and pharmacological concepts underpinning common combination study approaches.
- To identify and discuss key methodological issues in developing new combination therapies.
Main Methods:
- Review and synthesis of existing literature on combination therapy study methodologies.
- Categorization of approaches into effect-based and dose-effect-based methods.
- Discussion of practical advantages, limitations, and common challenges.
Main Results:
- Established foundational concepts for understanding combination effect analyses.
- Detailed comparison of effect-based and dose-effect-based approaches.
- Identified six critical methodological issues encountered in combination therapy development.
Conclusions:
- A standardized, universally applicable methodology for all biomedical situations is currently absent.
- Rigorous and collective application of reviewed concepts and methods is essential for advancing drug combination studies.
- Improved methodological understanding can accelerate the development of superior combination therapies.
Related Concept Videos
Agonism and Antagonism: Quantification
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
Analysis of Population Pharmacokinetic Data
Combined Effects of Drugs: Synergism
Such synergistic combinations...
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...

