Analysis of genetic-metabolic circuits using piecewise affine dynamical systems

Diego Oyarzun (University of Edinburgh)

14-Mar-2024, 16:00-16:30 (21 months ago)

Abstract: Cell survival depends on the interplay of biochemical networks that sense, transmit and process environmental cues. In particular, the interplay between metabolism and gene regulatory networks allows cells to switch on or off specific pathways in response to changing environmental conditions. This control strategy typically appears in the form of feedback loops where key regulatory metabolites up- or down-regulate enzyme expression. In this talk I will present some of our work on the analysis and design of coupled genetic-metabolic networks. I will show how to timescale separation and piecewise constant approximations can be jointly employed to predict the long-term dynamics nonlinear models with complex combinations of positive and negative feedback loops. This work results from a long-term collaboration with Madalena Chaves at INRIA Sophia Antipolis, see e.g Chaves & Oyarzún, Automatica, 2019.

algebraic geometrydynamical systemsprobability

Audience: researchers in the topic

( video )


Seminar on the Mathematics of Reaction Networks

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Organizers: Daniele Cappelletti*, Stefan Müller*, Tung Nguyen*, Polly Yu*
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