Searching for significant reactions and subprocesses in models of biological systems based on Petri nets
[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee
2024
scientific article
english
- biological systems
- Petri net-based models
- t-invariants analysis
- importance analysis
- occurrence analysis
- significant reactions and subprocesses
EN The primary aim of this research was to propose algorithms enabling the identification of significant reactions and subprocesses within models of biological systems constructed using classical Petri nets. These solutions allow to performance of two analysis methods: an importance analysis for identifying individual reactions critical to the functioning of the model and an occurrence analysis for finding essential subprocesses. To demonstrate the utility of these methods, analyses of an example model have been performed. In this case, it was a model related to the DNA damage response mechanism. It is worth noting that the proposed analyses can be applied to any biological phenomenon represented using the Petri net formalism. The presented analysis methods represent an extension of classical Petri net-based analyses. Their utility lies in their potential to enhance our comprehension of the biological phenomena under investigation. Furthermore, they can lead to the development of more effective medical therapies, as they can aid in the identification of potential molecular targets for drugs.
20.11.2023
107729-1 - 107729-10
Article Number: 107729
CC BY-NC-ND (attribution - noncommercial - no derivatives)
czasopismo hybrydowe
final published version
at the time of publication
100
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