Rule-based modelling and simulation of drug-administration policies

Abstract

We consider rule-based models extended with time-dependent reaction rates, a suitable formalism to describe the effect of drug administration on biochemical systems. In the paper, we provide a novel and efficient rejection-based simulation algorithm that samples exactly the trajectory space of such models. Furthermore, we investigate a model of drug administration in the context of a plaque-formation process of Alzheimer’s disease, a polymerization process best described by a rule-based model to counteract the intrinsic combinatorial explosion of the underlying reaction network. Furthermore, time-dependent rates are needed to model the effect of drugs. We apply the simulation algorithm to study the efficacy of different drug administration policies.

@incollection{bortolussiRuleBasedModellingAndSimulation2015,
 author = {Luca Bortolussi and Thilo Krüger and Thorsten Lehr and Verena Wolf},
 booktitle = {MSM '15: Proceedings of the Symposium on Modeling and Simulation in Medicine},
 editor = {Nicht bekannt},
 isbn = {978-1-5108-0102-8},
 month = {4},
 pages = {53-60},
 publisher = {ACM},
 title = {Rule-based modelling and simulation of drug-administration policies},
 year = {2015}
}