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Path mutual information for a class of biochemical reaction networks.

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Duso,  Lorenzo
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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Zechner,  Christoph
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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引用

Duso, L., & Zechner, C. (2019). Path mutual information for a class of biochemical reaction networks. In C. A., Canudas de Wit (Ed.), 2019 IEEE 58th Conference on Decision and Control (CDC) (pp. 6610-6615). Piscataway, N.J.: IEEE.


引用: https://hdl.handle.net/21.11116/0000-0006-7CFE-2
要旨
Living cells encode and transmit information in the temporal dynamics of signaling molecules. Gaining a quantitative understanding of how intracellular networks process dynamic signals requires measures that capture the interdependence between complete time trajectories of network components. Mutual information provides such a measure but its calculation in the context of stochastic reaction networks is associated with computational challenges. Here we propose a method to calculate the mutual information between complete time-continuous paths of two molecular species that interact with each other through chemical reactions. We demonstrate our approach using three simple case studies.