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Uniform description of polymer ejection dynamics from capsid with and without hydrodynamics.
J Piili1, P M Suhonen1, R P Linna1
1Department of Computer Science, Aalto University, P. O. Box 15400, FI-00076 Aalto, Finland.
Physical Review. E
|June 17, 2017
Summary
Stochastic Rotation Dynamics (SRD) simulations reveal polymer ejection dynamics from capsids. Hydrodynamics accelerate ejection and influence polymer expansion, with ejection time scaling universally with polymer length.
Area of Science:
- Biophysics
- Polymer Physics
- Computational Biology
Background:
- Polymer ejection from confined spaces, like viral capsids, is fundamental to biological processes.
- Understanding these dynamics is crucial for fields ranging from drug delivery to viral infection mechanisms.
Purpose of the Study:
- To investigate the dynamics of flexible polymer ejection from a spherical capsid using Stochastic Rotation Dynamics (SRD).
- To compare SRD results with Langevin simulations and analyze the role of hydrodynamics in the ejection process.
Main Methods:
- Stochastic Rotation Dynamics (SRD) simulations were employed to model polymer ejection.
- Langevin simulations were used for comparison.
- Analysis focused on waiting times of individual polymer beads and radius of gyration.
Main Results:
- Inclusion of hydrodynamic interactions accelerates ejection and promotes polymer expansion outside the capsid, indicated by increased radius of gyration.
- Waiting time for ejection (t_w) follows a universal functional form dependent on the number of ejected monomers (s), with a transition to slower dynamics after ~63% ejection.
- A universal scaling function h(s/N_0) describes cumulative waiting time, driven by a superexponentially decreasing force at the pore.
Conclusions:
- The observed ejection dynamics and scaling behaviors are universal, with hydrodynamics primarily affecting the magnitude of waiting times.
- The force-distance relationship at the pore dictates the ejection time scaling, explaining superlinear scaling for short polymers and predicting linear scaling for long polymers.
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