Petrov, T. ; Feret, J. ; Koeppl, H. (2012)
Reconstructing species-based dynamics from reduced stochastic rule-based models.
2012 Winter Simulation Conference (WSC'12). Berlin, Germany (09.-12.12.)
Conference or Workshop Item, Bibliographie
Abstract
Many bio-molecular reactions inside the cell are characterized by complex-formation and mutual modification of a few constituent molecules that give rise to a combinatorial number of reachable complexes or species. For such cases rule-based models (or site-graph-rewrite rules), offer a compact model description, by enumerating only the necessary context of interacting molecules. Such a model specification induces symmetries in the underlying Markov chain, which we have recently exploited for model reduction, based on a backward Markovian bisimulation. Interestingly, the method showed a theoretical possibility of reconstructing the high-dimensional species-based dynamics from the aggregate state. In this paper, we present a procedure for reconstructing the high-dimensional species-based dynamics from the aggregate state, and we provide an algorithm for computing such de-aggregation functions explicitly. The algorithm involves counting the automorphisms of a connected site-graph, and has a quadratic time complexity in the number of molecules which constitute the site-graphs of interest. We provide illustrating case studies.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2012 |
| Creators: | Petrov, T. ; Feret, J. ; Koeppl, H. |
| Type of entry: | Bibliographie |
| Title: | Reconstructing species-based dynamics from reduced stochastic rule-based models |
| Language: | English |
| Date: | December 2012 |
| Publisher: | ACM |
| Event Title: | 2012 Winter Simulation Conference (WSC'12) |
| Event Location: | Berlin, Germany |
| Event Dates: | 09.-12.12. |
| URL / URN: | http://dl.acm.org/citation.cfm?id=2429759.2430062 |
| Abstract: | Many bio-molecular reactions inside the cell are characterized by complex-formation and mutual modification of a few constituent molecules that give rise to a combinatorial number of reachable complexes or species. For such cases rule-based models (or site-graph-rewrite rules), offer a compact model description, by enumerating only the necessary context of interacting molecules. Such a model specification induces symmetries in the underlying Markov chain, which we have recently exploited for model reduction, based on a backward Markovian bisimulation. Interestingly, the method showed a theoretical possibility of reconstructing the high-dimensional species-based dynamics from the aggregate state. In this paper, we present a procedure for reconstructing the high-dimensional species-based dynamics from the aggregate state, and we provide an algorithm for computing such de-aggregation functions explicitly. The algorithm involves counting the automorphisms of a connected site-graph, and has a quadratic time complexity in the number of molecules which constitute the site-graphs of interest. We provide illustrating case studies. |
| Additional Information: | Art. No.: 225 |
| Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications |
| Date Deposited: | 04 Apr 2014 12:18 |
| Last Modified: | 23 Sep 2021 14:31 |
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