Self-organized digital disorder of Davydov's beta kink
H.C. Rosu

TL;DR
This paper explores the digital disorder in Davydov's beta kinks within protein chains, revealing self-organized power law correlations and proposing a semiconductor model for flicker noise, highlighting complex multifractal behavior.
Contribution
It introduces a simple semiconductor model for flicker noise in digitally disordered Davydov beta kinks and discusses their self-organized, multifractal properties.
Findings
Self-organized power law correlations in time and space.
A semiconductor model for flicker noise.
Potential multifractality in protein chains.
Abstract
I discuss the digital disorder introduced by Rosu and Canessa [Phys. Rev. E 47, R3818 (1993)] in the Davydov model of energy diffusion along \alpha-helix protein chains. The digitally disordered Davydov beta kinks display self-organized features, i.e., power law correlations both in time and space, that may be attributed to incipient dynamic structural changes of the protein chain as a consequence of coarse-graining the fluctuations due to microscopic degrees of freedom. In this paper, I provide a simple semiconductor model for the flicker noise and also comment on the multifractality that one may associate with the protein chains by means of digital disorder
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · stochastic dynamics and bifurcation · Neural dynamics and brain function
