About Me
Research Project
In simulating biological systems stochastically, one modern approach to manage the big number of states and interactions is the so-called Rule-Based Modeling. Here, the individual species are not explicitely considered in computing the possible reactions. Instead the possible reactions are seen as rules, and the species, which are affected by the selected rule are chosen by random. In technichal polymerization reactions the numbers of states and interactions are even bigger. The aim of my research is, to convey the concept of Rule-Based Modeling to such reactions.
Publications
- T. Krüger, V. Wolf: Hybrid Stochastic Simulation of Rule-Based Polymerization Models. HSB 2016: 39-53 2015
- C. Bock, L. Bortolussi, T. Krüger, L. Mikeev, V. Wolf: Model-Based Whole-Genome Analysis of DNA Methylation Fidelity. HSB 2015: 141-155
- L. Bortolussi, T. Krüger, T. Lehr, V. Wolf: Rule-based modelling and simulation of drug-administration policies. SpringSim (MSM) 2015: 53-60
- A. Andreychenko, T. Krüger, D. Spieler: Analyzing Oscillatory Behavior with Formal Methods. ROCKS 2012: 1-25
Interests
- Rule-Based Modeling
- Stochastic Modeling of Polymerization Reactions
- Polymer Reaction Engineering
Publications (3)
2016
Hybrid Stochastic Simulation of Rule-Based Polymerization Models
2016 — Hybrid Systems Biology - 5th International Workshop, Proceedings. International Conference on Hybrid Systems Biology (HSB-2016), October 20-21, Grenoble, France
2015
Model-Based Whole-Genome Analysis of DNA Methylation Fidelity
2015 — Hybrid Systems Biology - Fourth International Workshop. Revised Selected Papers. International Conference on Hybrid Systems Biology (HSB-2015), September 4-5, Madrid, Spain
Rule-based modelling and simulation of drug-administration policies
2015 — MSM ‘15: Proceedings of the Symposium on Modeling and Simulation in Medicine