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SFSysCellBio SIGNED

Slow-Fast Systems in Cellular Biology

Total Cost €

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EC-Contrib. €

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Partnership

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Project "SFSysCellBio" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITAET WIEN 

Organization address
address: KARLSPLATZ 13
city: WIEN
postcode: 1040
website: www.tuwien.ac.at

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Austria [AT]
 Project website http://ilonakosiuk.eu/
 Total cost 178˙156 €
 EC max contribution 178˙156 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-08-30   to  2019-08-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET WIEN AT (WIEN) coordinator 178˙156.00

Map

 Project objective

Mathematical modelling has emerged as an important tool to handle the structural complexity of cellular processes and to gain better understanding of their functioning and dynamics. We propose to develop methods for the mathematical analysis of ODE models arising in cell biology. We focus on models of great biomedical importance, i.e. cell division cycle, NF-kB signalling pathway, and the p53 system. Pertinent mathematical questions of biological interest are: existence and stability of equilibria, periodic oscillations, switching phenomena, and bifurcations. Often the analysis of such models relies heavily on computational approaches but qualitative analysis is also very important. Detailed models of individual pathways or the cell division cycle are too large for theoretical analysis. However, there is evidence from simulations that often only a small or moderate number of components of a large systems play essential roles, while other parts have almost negligible roles. This allows the systematic use of perturbation methods. In particular slow-fast dynamical systems, i.e. systems with solutions varying on very different timescales are abundant in biology in general and in cellular biology in particular.

The approach in this project relies strongly on novel dynamical systems methods for systems with multiple time scale dynamics, known as geometric singular perturbation theory (GSPT). Interestingly, the models under investigation do not have the standard form covered by the existing theory. Due to these difficulties GSPT has not been applied systematically in this area. An extended version of GSPT - using hierarchies of local approximations - will be developed for the specific models. The project will lead to better understanding of cell-cyle and signaling pathway models.

These issues and the methods to resolve them are of great importance also for other models in cellular biology and also for slow-fast dynamical systems in general.

 Publications

year authors and title journal last update
List of publications.
2019 Amirkhanov, Aleksandr and Kosiuk, Ilona and Szmolyan, Peter and Amirkhanov, Artem and Mistelbauer, Gabriel and Gröller, Eduard and Raidou, Renata Georgia
ManyLands: A Journey Across 4D Phase Space of Trajectories
published pages: , ISSN: 1467-8659, DOI: 10.1111/cgf.13828
Computer Graphics Forum 38-Issue 7 2020-04-14

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The information about "SFSYSCELLBIO" are provided by the European Opendata Portal: CORDIS opendata.

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