Modeling of Nanomachine/Micromachine Crowds: Interplay between the Internal State and Surroundings.

J Phys Chem B

Research Center for the Mathematics on Chromatin Live Dynamics (RcMcD), Department of Mathematical and Life Sciences, Graduate School of Science , Hiroshima University, 1-3-1 Kagamiyama , Higashi-Hiroshima, Hiroshima 739-8526 , Japan.

Published: February 2019

AI Article Synopsis

  • The activity of biological cells relies on complex chemical reactions, typically represented by reaction-diffusion systems, but is influenced by the crowded presence of macromolecules and molecular machines.
  • The proposed model simulates these interactions using particles whose shapes change based on internal states and incorporates motion interference through excluded volume repulsion, leading to unique patterns and synchronization behaviors.
  • This straightforward and adaptable model aims to explore the interaction between the physical dynamics of molecular machinery and chemical reactions in cells, with potential applications to larger biological systems like cell crowds.

Article Abstract

The activity of biological cells is primarily based on chemical reactions and typically modeled as a reaction-diffusion system. Cells are, however, highly crowded with macromolecules, including a variety of molecular machines such as enzymes. The working cycles of these machines are often coupled with their internal motion (conformational changes). In the crowded environment of a cell, motion interference between neighboring molecules is not negligible, and this interference can affect the reaction dynamics through machine operation. To simulate such a situation, we propose a reaction-diffusion model consisting of particles whose shape depends on an internal state variable, for crowds of nano- to micromachines. The interference between nearby particles is naturally introduced through excluded volume repulsion. In the simulations, we observed segregation and flow-like patterns enhanced by crowding out of relevant molecules, as well as molecular synchronization waves and phase transitions. The presented model is simple and extensible for diverse molecular machinery and may serve as a framework to study the interplay between the mechanical stress/strain network and the chemical reaction network in the cell. Applications to more macroscopic systems, e.g., crowds of cells, are also discussed.

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Source
http://dx.doi.org/10.1021/acs.jpcb.8b10633DOI Listing

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