Information Thermodynamics Derives the Entropy Current of Cell Signal Transduction as a Model of a Binary Coding System

鶴山, 竜昭

doi:10.3390/e20020145

説明

The analysis of cellular signaling cascades based on information thermodynamics has recently developed considerably. A signaling cascade may be considered a binary code system consisting of two types of signaling molecules that carry biological information, phosphorylated active, and non-phosphorylated inactive forms. This study aims to evaluate the signal transduction step in cascades from the viewpoint of changes in mixing entropy. An increase in active forms may induce biological signal transduction through a mixing entropy change, which induces a chemical potential current in the signaling cascade. We applied the fluctuation theorem to calculate the chemical potential current and found that the average entropy production current is independent of the step in the whole cascade. As a result, the entropy current carrying signal transduction is defined by the entropy current mobility.

収録刊行物

Entropy

Entropy 20 (2), 145-, 2018-02-24

MDPI AG

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詳細情報詳細情報について

CRID: 1050564288161032576

NII論文ID: 120006501345

ISSN: 10994300

DOI: 10.3390/e20020145

HANDLE: 2433/233956

PubMed: 33265236

本文言語コード: en

資料種別: journal article

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