Abstract
This chapter presents the application of the information-thermodynamic theory based on the causal networks to the biochemical signal transduction. We discuss the role of thermodynamics of information processing in sensory adaptation such as the E. coli chemotaxis. We theoretically shows that the robustness of adaptation is thermodynamically bounded by the information flow inside the cell. We discuss the similarity and the difference between our thermodynamic result and the noisy-channel coding theorem in the classical information theory. We also numerically shows that the signal transduction of E. coli chemotaxis is efficient as an information-thermodynamic engine.
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© 2016 Springer Science+Business Media Singapore
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Ito, S. (2016). Application to Biochemical Signal Transduction. In: Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction. Springer Theses. Springer, Singapore. https://doi.org/10.1007/978-981-10-1664-6_7
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DOI: https://doi.org/10.1007/978-981-10-1664-6_7
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Online ISBN: 978-981-10-1664-6
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