| Literature DB >> 22440734 |
Ravi Iyengar1, Shan Zhao, Seung-Wook Chung, Donald E Mager, James M Gallo.
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.Entities:
Mesh:
Year: 2012 PMID: 22440734 PMCID: PMC3405973 DOI: 10.1126/scitranslmed.3003563
Source DB: PubMed Journal: Sci Transl Med ISSN: 1946-6234 Impact factor: 17.956