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Information Dynamics of a Nonlinear Stochastic Nanopore System
Claire Gilpin1, David Darmon2, Zuzanna Siwy1
1Department of Physics and Astronomy, University of California-Irvine, Irvine, CA 92697-4575, USA.
Entropy (Basel, Switzerland)
|December 3, 2020
Summary
Researchers used information theory to analyze fluctuating nanopore systems. Both local entropy rate (LER) and specific entropy rate (SER) increased with nanopore current fluctuations, revealing changes in information generation.
Area of Science:
- Physics
- Information Theory
- Biophysics
Background:
- Nanopores are of significant scientific interest for applications like DNA sequencing and diagnostics.
- They mimic physiological processes at molecular and cellular scales.
- Information theory advances enable studying information dynamics in complex systems.
Purpose of the Study:
- To compute local entropy rate (LER) and specific entropy rate (SER) for autonomously fluctuating nanopore systems.
- To investigate information generation during nanopore current fluctuations.
Main Methods:
- Simulation study of an autonomously fluctuating nanopore system.
- Application of information theory metrics: local entropy rate (LER) and specific entropy rate (SER).
Main Results:
- Both LER and SER were computed for the simulated nanopore system.
- LER and SER showed increases correlating with nanopore current fluctuations.
- These increases indicate fundamental changes in information generation associated with fluctuations.
Conclusions:
- Entropy rate metrics effectively capture information dynamics in fluctuating nanopore systems.
- Fluctuations in nanopore current are linked to significant alterations in information generation.
- This work enhances understanding of physical systems modeled by nanopore behavior.
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