Research Project

Elucidating spatio-temporal coherence of cellular processes by data-driven inverse analysis: redox rhythmicity in yeast and diffusion controlled hormone feedback cycles

Project type: Research Project
Programme: Mathematics and...
Call: Mathematik und … Call 2007
Start: 01.03.2008
Duration: 2,00 years
Grant awarded: 434.800 €
Keywords: Systems biology, experimental high throughput data, nonlinear ill-posed and inverse problems, regularization methods, inverse bifurcation analysis, parameter identification, respiratory oscillations of yeast, large scale ODEs, hormone regulation, react

Christoph Flamm & Philipp Kügler

University of Vienna, Theoretical Biochemistry Group &
RICAM + Johannes Kepler University Linz, Industrial Mathematics Institute

Project partners: Douglas Murray (Institute for Advanced Biosciences, Tsuruoka City, Japan)
Ladislav Nedbal (Academy of Sciences of the Czech Republic, Institute of Systems Biology and Ecology)
Gottfried Köhler (Max F. Perutz Laboratories, Computational Biology Group)

Perhaps the major goal in systems biology is the elucidation of cellular processes. Its
pursuit requires the joint efforts of computational, applied mathematicians, experimental
biologists and engineers. Advanced mathematical techniques from the fields of
nonlinear, inverse and ill-posed problems, are necessary for extracting the desired
information about complex cellu-lar processes from the ever increasing datasets
avaliable. In this project we plan to develop data-driven inverse methods then apply
these to analyse redox phenomena in yeast respira-tory oscillation, diffusion controlled
cortisol feedback cycles and circadian regulation of cyanobacterial photosynthesis.

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