A graph model of combination therapies

Mengmeng Sang, Ang Dong, Shuang Wu, Feng Li, Jing Wang, Christopher Griffin, Rongling Wu

Research output: Contribution to journalShort surveypeer-review

4 Scopus citations


The simultaneous use of multiple medications causes drug–drug interactions (DDI) that impact therapeutic efficacy. Here, we argue that graph theory, in conjunction with game theory and ecosystem theory, can address this issue. We treat the coexistence of multiple drugs as a system in which DDI is modeled by game theory. We develop an ordinary differential equation model to characterize how the concentration of a drug changes as a result of its independent capacity and the dependent influence of other drugs through the metabolic response of the host. We coalesce all drugs into personalized and context-specific networks, which can reveal key DDI determinants of therapeutical efficacy. Our model can quantify drug synergy and antagonism and test the translational success of combination therapies to the clinic.

Original languageEnglish (US)
Pages (from-to)1210-1217
Number of pages8
JournalDrug Discovery Today
Issue number5
StatePublished - May 2022

All Science Journal Classification (ASJC) codes

  • Pharmacology
  • Drug Discovery


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