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Updated: May 23, 2026
12:08
Diagonal Method to Measure Synergy Among Any Number of Drugs
Published on: June 21, 2018
Merging systems biology with pharmacodynamics.
Ravi Iyengar1, Shan Zhao, Seung-Wook Chung
1Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Mount Sinai School of Medicine, New York, NY 10029, USA. ravi.iyengar@mssm.edu
Science Translational Medicine
|March 24, 2012
Summary
Systems pharmacology uses computational models for drug discovery and precision medicine. Enhanced pharmacodynamic (ePD) models integrate systems biology and pharmacology to predict drug effects and improve efficacy.
Area of Science:
- Pharmacology
- Systems Biology
- Computational Biology
Background:
- Systems pharmacology integrates computational modeling of cellular networks with quantitative pharmacology.
- Current approaches aim to improve drug discovery, predict adverse events, and enable precision medicine.
Purpose of the Study:
- Introduce enhanced pharmacodynamic (ePD) models.
- Combine strengths of systems biology and pharmacodynamic (PD) models.
- Utilize ordinary or partial differential equations for analysis.
Main Methods:
- Developed ePD models analyzing cellular regulatory networks.
- Incorporated drug's multiple targets into the models.
- Accounted for genomic, epigenomic, and posttranslational variations.
Main Results:
- ePD models offer a synergistic framework combining systems biology and PD modeling.
- These models can predict how biological variations affect drug efficacy.
- Demonstrated potential for advancing drug discovery and personalized medicine.
Conclusions:
- Enhanced pharmacodynamic (ePD) models represent a significant advancement in computational pharmacology.
- ePD models facilitate a deeper understanding of drug action mechanisms.
- This approach is poised to drive innovation in precision medicine and drug development.
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