Berlin 2024 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 37: Statistical Physics of Biological Systems II (joint session BP/DY)
DY 37.6: Vortrag
Donnerstag, 21. März 2024, 11:00–11:15, H 1028
Trajectory mutual information in biochemical systems: Gaussian vs. Poissonian fluctuations — •Anne-Lena Moor1,2, Christoph Zechner1,2, and Pieter Rein ten Wolde3 — 1Max Planck Institute of Molecular Cell Biology and Genetics — 2Center for Systems Biology Dresden — 3AMOLF Amsterdam
Signal processing in biochemical networks relies on dynamic information transmission between time-trajectories of the respective molecular components. From a mathematical point of view, the transferred information can be described via the mutual information. Traditionally, this has been calculated using a Gaussian approximation. Our recent work suggests that this method is not always suitable for every biochemical networks which can lead to quantitative and qualitative mismatches to the exact solution. In this work, we explain the origin of these discrepancies and present a modified version of the Gaussian framework that aligns better with the characteristics of stochastic biochemical networks.
Keywords: mutual information; information transfer; reaction networks; Gaussian approximations