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Information theory and signal transduction systems: From molecular information processing to network inference.

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Liepe,  J.
Research Group of Quantitative and System Biology, MPI for Biophysical Chemistry, Max Planck Society;

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Citation

McMahon, S. S., Sim, A., Filippi, S., Johnson, R., Liepe, J., Smith, D., et al. (2014). Information theory and signal transduction systems: From molecular information processing to network inference. Seminars in Cell and Developmental Biology, 35, 98-108. doi:10.1016/j.semcdb.2014.06.011.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-FFF4-3
Abstract
Sensing and responding to the environment are two essential functions that all biological organisms need to master for survival and successful reproduction. Developmental processes are marshalled by a diverse set of signalling and control systems, ranging from systems with simple chemical inputs and outputs to complex molecular and cellular networks with non-linear dynamics. Information theory provides a powerful and convenient framework in which such systems can be studied; but it also provides the means to reconstruct the structure and dynamics of molecular interaction networks underlying physiological and developmental processes. Here we supply a brief description of its basic concepts and introduce some useful tools for systems and developmental biologists. Along with a brief but thorough theoretical primer, we demonstrate the wide applicability and biological application-specific nuances by way of different illustrative vignettes. In particular, we focus on the characterisation of biological information processing efficiency, examining cell-fate decision making processes, gene regulatory network reconstruction, and efficient signal transduction experimental design.