2012/05/02 by Tatsuaki Tsuruyama, Tsuruyama, Tatsuaki
Biochemistry, Genetics and Molecular Biology · Chemistry · Computer Science · #Computational Drug Discovery Methods #FOS: Biological sciences #Gene Regulatory Network Analysis #Molecular Networks (q-bio.MN) #Receptor Mechanisms and Signaling #thermodynamics and calorimetric analyses
paper · pdf · doi:10.48550/arxiv.1205.0382
openalex publication_date 2012/05/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Living cell signaling systems include multistep biochemical signaling\nreaction cascades (BSCs) comprising modifications of molecular signaling\nproteins. Substantial data on BSCs have been accumulated in the field of\nmolecular biology and the analysis of signaling systems requires qualitative\nevaluation. However, quantification of the information and channel capacity of\nBSCs has not been focused on from the perspective of information theory. In the\ncurrent study, we aimed to derive basic equations for describing the channel\ncapacity and information density of BSCs using the fluctuation theorem. From\nthe results, channel capacity and information density can be described using\nthe average entropy production rate when the signaling system is minimally\nredundant. The channel capacity could actually be calculated for the\nmitogen-activated protein kinase BSC when it was minimally redundant. This\nquantitative method of examination is applicable to the quantitative analysis\nof BSCs.\n