Application of impulsive deterministic simulation of biochemical networks via simulation tools

Date

2017-01-01

Author

Purutçuoğlu Gazi, Vilda

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In order to understand the possible behaviour of biochemical networks, deterministic and stochastic simulation methods have been developed. However in some cases, these methods should be broaden. For oxii.rupie, if the biochemical system is subjected to the unexpected effects causing abrupt changes in the network, the ordinary simulation algorithms cannot capture these impulsive expressions. In 1.1) is study, we select, 1.1 ic simulations lools. specifically, CO PA ST and Systems Biology Toolbox for MATLAR among alternatives that enable us to represent the impulsive changes in the system via impulsive or adaptive deterministic simulation algorithms. Accordingly, we compare these tools by applying the two major impulsive scenarios, namely, impulses for fixed times and fixed states. based on their accuracies and computational demands. We evaluate our results for small and large systems, respectively.

URI

https://hdl.handle.net/11511/79943
https://www.scopus.com/record/display.uri?eid=2-s2.0-85017578831&origin=resultslist&sort=plf-f&src=s&st1=&st2=&sid=5bb0bd53512ab5381df89f1ecca780a4&sot=b&sdt=b&sl=110&s=TITLE-ABS-KEY+%28Application+of+impulsive+deterministic+simulation+of+biochemical+networks+via+simulation+tools%29&relpos=0&citeCnt=0&searchTerm=

Journal

Proceedings of the Jangjeon Mathematical Society

DOI

https://doi.org/10.23001/pjms2017.20.1.105

Collections

Department of Statistics, Article

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Citation Formats

V. Purutçuoğlu Gazi, “Application of impulsive deterministic simulation of biochemical networks via simulation tools,” Proceedings of the Jangjeon Mathematical Society, pp. 105–119, 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/79943.