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Diagonal Method to Measure Synergy Among Any Number of Drugs
Published on: June 21, 2018
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Drug combinatorics and side effect estimation on the signed human drug-target network
Núria Ballber Torres1, Claudio Altafini2
1School of Telecommunications Engineering, Universitat Politècnica de Catalunya, 1-3 Jordi Girona Street, Barcelona, 08034, Spain.
BMC Systems Biology
|August 17, 2016
Summary
Drug pairs often show synergistic effects on shared targets, meaning their actions align. This study introduces methods to analyze drug synergism and predict side effects in drug combinations.
Area of Science:
- Pharmacology
- Systems Biology
- Computational Biology
Background:
- Drug actions on targets are classified as positive (e.g., agonists) or negative (e.g., antagonists).
- Signed drug-target networks can represent combined drug mechanisms on shared targets.
Purpose of the Study:
- To investigate the combined mechanisms of action of multiple drugs on common targets using signed drug-target networks.
- To develop methods for computing drug synergism and estimating drug influence on side effects.
Main Methods:
- Analysis of a signed human drug-target network.
- Development of computational methods to quantify drug synergism.
- Estimation of drug-induced side effect influences.
Main Results:
- The majority of drug pairs exhibit synergistic effects on common targets in the human drug-target network.
- Synergism is particularly pronounced for principal pharmacological targets.
- Methods were proposed to compute synergism and estimate side effect interactions.
Conclusions:
- Enriching drug-target networks with interaction signs enables systematic exploration of network properties.
- This approach is valuable for computational drug combinatorics and understanding drug interactions.
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