Quantitative Biology > Molecular Networks
This paper has been withdrawn by Tatsuaki Tsuruyama
[Submitted on 11 May 2016 (v1), last revised 8 Mar 2017 (this version, v3)]
Title:Quantifying efficient information transduction of biochemical signaling cascades
No PDF available, click to view other formatsAbstract:Cells can be considered as systems that utilize changes in thermodynamic entropy as information. Therefore, they serve as useful models for investigating the relationships between entropy production and information transmission, i.e., signal transduction. Based on the hypothesis that cells apply a chemical reaction cascade for the most efficient transduction of information, we adopted a coding design that minimizes the number of bits per concentration of molecules that are employed for information transduction. As a result, the average rate of entropy production is uniform across all cycles in a cascade reaction. Thus, the entropy production rate can be a valuable measure for the quantification of intracellular signal transduction.
Submission history
From: Tatsuaki Tsuruyama [view email][v1] Wed, 11 May 2016 14:17:28 UTC (889 KB)
[v2] Fri, 20 May 2016 06:40:57 UTC (848 KB)
[v3] Wed, 8 Mar 2017 11:23:23 UTC (1 KB) (withdrawn)
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