Merging systems biology with pharmacodynamics

Ravi Iyengar, Shan Zhao, Seung Wook Chung, Donald E. Mager, James M. Gallo

Research output: Contribution to journalReview articlepeer-review

122 Scopus citations

Abstract

The emerging discipline of systems pharmacology aims to combine analysis and computational modeling of cellular regulatory networks with quantitative pharmacology approaches to drive the drug discovery processes, predict rare adverse events, and catalyze the practice of personalized precision medicine. Here, we introduce the concept of enhanced pharmacodynamic (ePD) models, which synergistically combine the desirable features of systems biology and current PD models within the framework of ordinary or partial differential equations. ePD models that analyze regulatory networks involved in drug action can account for a drug's multiple targets and for the effects of genomic, epigenomic, and posttranslational changes on the drug efficacy. This new knowledge can drive drug discovery and shape precision medicine.

Original languageEnglish
Article number126ps7
JournalScience Translational Medicine
Volume4
Issue number126
DOIs
StatePublished - 21 Mar 2012

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