Fully Automated Attractor Analysis of Cyanobacteria Models

0497427 - ÚVGZ 2019 RIV RO eng C - Conference Paper (international conference)
Beneš, N. - Brim, L. - Pastva, S. - Šafránek, D. - Troják, M. - Červený, Jan - Šalagovič, Jakub
Fully Automated Attractor Analysis of Cyanobacteria Models.
22nd International Conference on System Theory, Control and Computing (ICSTCC). Sinaia: IEE, 2018, s. 354-359. ISSN 2372-1618.
[International Conference on System Theory, Control and Computing (ICSTCC) /22./. Sinaia (RO), 10.12.2018-12.12.2018]
R&D Projects: GA MŠMT(CZ) LM2015055
Institutional support: RVO:86652079
Keywords : biological system modeling * mathematical model * computational modeling * numerical models * analytical models * data models
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8514498

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 demonstrate a novel method for detecting tSCCs in parametrised graphs on several models of cyanobacteria taken from the domain-specific online platform e-cyanobacterium.org.
Permanent Link: http://hdl.handle.net/11104/0290004