Rule-based modelling and simulation of drug-administration policies. Bortolussi, L., Krüger, T., Lehr, T., & Wolf, V. In Proceedings of the Symposium on Modeling and Simulation in Medicine, pages 53-60, 2015.
Rule-based modelling and simulation of drug-administration policies [link]Website  abstract   bibtex   
We consider rule-based models extended with timedependent 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.
@inproceedings{
 title = {Rule-based modelling and simulation of drug-administration policies},
 type = {inproceedings},
 year = {2015},
 pages = {53-60},
 websites = {http://delivery.acm.org/10.1145/2880000/2873012/p53-bortolussi.pdf?ip=134.96.243.197&id=2873012&acc=ACTIVE SERVICE&key=2BA2C432AB83DA15%2E751454C00E92148A%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&CFID=528669532&CFTOKEN=13974390&__acm__=1456997720_ed4dd53fe07},
 institution = {Society for Computer Simulation International},
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 abstract = {We consider rule-based models extended with timedependent 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.},
 bibtype = {inproceedings},
 author = {Bortolussi, Luca and Krüger, Thilo and Lehr, Thorsten and Wolf, Verena},
 booktitle = {Proceedings of the Symposium on Modeling and Simulation in Medicine}
}

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