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Diagonal Method to Measure Synergy Among Any Number of Drugs
Published on: June 21, 2018
A global view of drug-therapy interactions
Jose C Nacher1, Jean-Marc Schwartz
1Department of Complex Systems, Future University-Hakodate, Hokkaido 041-8655, Japan. nacher@fun.ac.jp
BMC Pharmacology
|March 6, 2008
Summary
Network science reveals drug-therapy networks are highly interconnected, with average paths under three steps. This mapping of drug interactions offers new strategies for developing multi-target drugs to combat complex diseases.
Area of Science:
- Complex systems analysis
- Network science applications
- Pharmacology and drug discovery
Background:
- Network science provides tools for understanding complex systems across various fields.
- Traditional drug design is slow and costly, especially for complex, multi-genetic diseases.
- Multi-target drug design, combined with network approaches, shows promise for treating diseases like cancer and diabetes.
Purpose of the Study:
- To investigate the human drug-therapy interaction network.
- To map the large-scale organization of drugs and their therapeutic applications.
- To identify key drugs and network structures for future drug development.
Main Methods:
- Constructed a human network of all US-approved drugs and their known therapeutic applications.
- Analyzed the network to determine path lengths between therapies.
- Identified drugs with high centrality measures within the network.
Main Results:
- The drug-therapy network exhibits short average path lengths (under three steps).
- Distant therapies are connected by a small number of intermediate drugs.
- A core sub-network of highly central drugs acts as a structural backbone, connecting different network parts.
Conclusions:
- This study presents the first global map of drug-therapy organization.
- Findings offer novel insights for multi-target drug development strategies.
- Drugs with high network centrality and multiple molecular targets warrant special attention for future research.
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