Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Chaperone-assisted translocation.

Tobias Ambjörnsson1, Ralf Metzler

  • 1NORDITA (Nordic Institute for Theoretical Physics), Blegdamsvej 17, DK-2100 Copenhagen Ø, Denmark. ambjorn@nordita.dk

Physical Biology
|October 6, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reversal of tracer advection and Hall drift in an interacting chiral fluid.

Physical review. E·2026
Same author

Anomalous statistics in the Langevin equation with fluctuating diffusivity: from Brownian yet non-Gaussian diffusion to anomalous diffusion and ergodicity breaking.

Reports on progress in physics. Physical Society (Great Britain)·2026
Same author

Anomalous diffusion and fluctuations in complex systems and networks.

Chaos (Woodbury, N.Y.)·2026
Same author

DOGMA: de novo assembly of densely labelled optical DNA maps using a matrix profile approach.

PloS one·2025
Same author

Photophysical image analysis for sCMOS cameras: Noise modelling and estimation of background parameters in fluorescence-microscopy images.

PloS one·2025
Same author

Fractional Brownian motion with mean-density interaction: A myopic self-avoiding fractional stochastic process.

Physical review. E·2025
Same journal

Quantitative models of photoreceptor metabolisms: implications for rod outer segment length, retinal glycolysis and choroidal blood flow.

Physical biology·2026
Same journal

Mechanical interactions govern self-organized ordering in bacterial colonies on surfaces.

Physical biology·2026
Same journal

Robust chemotaxis beyond sensing limits: signal, noise, and strategy.

Physical biology·2026
Same journal

Ecological dynamics of pro-tumor and anti-tumor teams in the tumor microenvironment.

Physical biology·2026
Same journal

Swarms of female<i>Anopheles gambiae</i>mosquitoes may fracture when perturbed.

Physical biology·2026
Same journal

How exercise scheduling affects IL-6-mediated tumor suppression: a fixed exercise volume perspective.

Physical biology·2026
See all related articles

This study models polymer translocation through nanopores with binding chaperones. We detail the effective force and mean velocity, finding simple results for long polymers and varying chaperone valency.

Area of Science:

  • Polymer physics
  • Biophysics
  • Statistical mechanics

Background:

  • Polymer translocation through nanopores is crucial for biological processes and nanotechnology.
  • Chaperones assist translocation by binding to polymers, but their effect on translocation dynamics requires detailed modeling.
  • Previous models often simplify chaperone interactions or polymer properties.

Purpose of the Study:

  • To investigate the translocation dynamics of a stiff polymer through a nanopore in the presence of reversible binding chaperones.
  • To develop a theoretical framework that accounts for chaperone valency and binding strength.
  • To analyze the effective force and mean translocation velocity under varying conditions.

Main Methods:

  • A one-dimensional master equation was employed to describe the translocation process.

Related Experiment Videos

  • Statistical mechanical averaging was used to determine the effective force, considering chaperone binding states.
  • Finite size corrections to the effective force were derived, with analytical solutions for univalent binding.
  • The mean translocation velocity was analyzed as a function of chaperone binding strength and size.
  • Main Results:

    • The effective force acting on the polymer during translocation was analyzed in detail, considering chaperone valency.
    • Finite size corrections to the effective force were obtained, providing more accurate predictions.
    • The mean translocation velocity was found to depend on chaperone binding strength and size.
    • Simple analytical results for the mean velocity were derived for sufficiently long polymers.

    Conclusions:

    • The study provides a comprehensive theoretical model for polymer translocation influenced by chaperones.
    • Chaperone valency and binding strength significantly impact translocation dynamics.
    • The derived results offer insights into controlling and optimizing polymer translocation processes.
    • The model is applicable to both univalent and multivalent chaperone binding scenarios.