Publication details

Fully Automated Attractor Analysis of Cyanobacteria Models

Authors

BENEŠ Nikola BRIM Luboš ČERVENÝ Jan PASTVA Samuel ŠAFRÁNEK David ŠALAGOVIČ Jakub TROJÁK Matej

Year of publication 2018
Type Article in Proceedings
Conference 22nd International Conference on System Theory, Control and Computing
MU Faculty or unit

Faculty of Informatics

Citation
Web https://ieeexplore.ieee.org/document/8540762
Doi http://dx.doi.org/10.1109/ICSTCC.2018.8540762
Keywords attractors; parametrised graph; terminal strongly connected components; cyanobacteria
Description Complex dynamics arising in biological systems can be characterised by various kinds of attractors. To that end, the task of determining attractors becomes important in modern systems analysis. Biological systems are typically formalised as highly parametrised continuous-time ODE models. Such models can be abstracted in the form of parametrised graphs. In such abstractions, attractors are observed in the form of terminal strongly connected components (tSCCs). In this paper, we demon- strate a novel method for detecting tSCCs in parametrised graphs on several models of cyanobacteria taken from the domain- specific online platform e-cyanobacterium.org.
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