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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
Published on: September 26, 2016
Subdiffusive motion of a polymer composed of subdiffusive monomers
Stephanie C Weber1, Julie A Theriot, Andrew J Spakowitz
1Department of Biochemistry and Howard Hughes Medical Institute, Stanford University, Stanford, California 94305, USA.
Polymer motion in biological systems is often subdiffusive. Viscoelasticity and random waiting significantly alter polymer dynamics, unlike confinement or self-interaction, offering new ways to analyze experimental data.
Area of Science:
- Polymer Physics
- Biophysics
- Computational Biology
Background:
- Subdiffusive motion is common for polymers, especially biological macromolecules within cells.
- Understanding the physical drivers of this motion is crucial for comprehending cellular processes.
- Existing models may not fully capture the complexity of polymer dynamics in vivo.
Purpose of the Study:
- To investigate the physical principles governing subdiffusive polymer motion.
- To differentiate the effects of confinement, self-interaction, viscoelasticity, and random waiting on polymer dynamics.
- To develop analytical tools for interpreting experimental data on polymer motion.
Main Methods:
- Brownian dynamics simulations were employed to model polymer behavior.
- Analytical theory was used to complement simulation results.
- Fractional Langevin motion and continuous time random walks were utilized to model viscoelasticity and random waiting, respectively.
Main Results:
- Confinement and self-interaction did not alter the fundamental Rouse mode relaxations of polymers.
- Viscoelasticity and random waiting introduced significant, distinct deviations from standard polymer dynamics models.
- Monomer mean square displacement scaling and velocity autocorrelation functions were identified as key diagnostic tools.
Conclusions:
- Viscoelasticity and random waiting are key mechanisms causing subdiffusive polymer motion.
- The study provides methods to distinguish between different physical causes of subdiffusion in polymers.
- These findings aid in understanding macromolecular behavior in complex biological environments.
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