Regensburg 2022 – scientific programme
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BP: Fachverband Biologische Physik
BP 24: Systems Biology, Gene Expression, Signalling
BP 24.2: Talk
Thursday, September 8, 2022, 11:00–11:15, H16
Quantifying Dynamic Information Transfer in Stochastic Biochemical Networks — •Anne-Lena Moor1,2 and Christoph Zechner1,2 — 1Max-Planck Institute of Molecular Cell Biology and Genetics, Dresden Germany — 2Center for Systems Biology, Dresden, Germany
Transmission and encoding of information are fundamental processes for the functioning of biochemical systems. Information theoretical concepts, such as the mutual information, provide a rigorous mathematical framework to study intracellular signal transmission. In many biological systems, information is encoded in the time-trajectory of signalling components as opposed to instantaneous levels. However, performing information theoretical analysis on the trajectory-level is computationally demanding. In this work, we present an effective approach to calculate mutual information between complete trajectories of biochemical components. The resulting measure provides useful insights into the dynamic information transfer through networks of chemical reactions.