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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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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.