Stochastic modeling of systems mapping in pharmacogenomics

Zuoheng Wang, Jiangtao Luo, Guifang Fu, Zhong Wang, Rongling Wu

Research output: Contribution to journalReview articlepeer-review

5 Scopus citations

Abstract

As a basis of personalized medicine, pharmacogenetics and pharmacogenomics that aim to study the genetic architecture of drug response critically rely on dynamic modeling of how a drug is absorbed and transported to target tissues where the drug interacts with body molecules to produce drug effects. Systems mapping provides a general framework for integrating systems pharmacology and pharmacogenomics through robust ordinary differential equations. In this chapter, we extend systems mapping to more complex and more heterogeneous structure of drug response by implementing stochastic differential equations (SDE). We argue that SDE-implemented systems mapping provides a computational tool for pharmacogenetic or pharmacogenomic research towards personalized medicine.

Original languageEnglish (US)
Pages (from-to)912-917
Number of pages6
JournalAdvanced Drug Delivery Reviews
Volume65
Issue number7
DOIs
StatePublished - Jun 30 2013

Keywords

  • Drug response
  • Genetic architecture
  • PD
  • PK
  • Statistical model
  • Stochastic differential equation

ASJC Scopus subject areas

  • Pharmaceutical Science

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