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

Protein mechanical unfolding: a model with binary variables.

A Imparato1, A Pelizzola, M Zamparo

  • 1Dipartimento di Fisica, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy. alberto.imparato@polito.it

The Journal of Chemical Physics
|October 16, 2007
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

Theoretical description of effective heat transfer between two viscously coupled beads.

Physical review. E·2016
Same author

Stationary and Transient Fluctuation Theorems for Effective Heat Fluxes between Hydrodynamically Coupled Particles in Optical Traps.

Physical review letters·2016
Same author

Thermal transport in out-of-equilibrium quantum harmonic chains.

Physical review. E, Statistical, nonlinear, and soft matter physics·2015
Same author

Energy transfer in molecular devices.

Physical review. E, Statistical, nonlinear, and soft matter physics·2015
Same author

Dynamic membrane patterning, signal localization and polarity in living cells.

Soft matter·2015
Same author

Efficiency at maximum power of motor traffic on networks.

Physical review. E, Statistical, nonlinear, and soft matter physics·2014
Same journal

Quantum simulation of alignment dependent differential cross sections in co-propagating molecular beams at cold collision energies.

The Journal of chemical physics·2026
Same journal

Non-additive ion effects on the coil-globule equilibrium of a generic polymer in aqueous salt solutions.

The Journal of chemical physics·2026
Same journal

Insights into the unexpected small reduction of the temperature of maximum density of water by lithium chloride addition.

The Journal of chemical physics·2026
Same journal

Optical frequency comb double-resonance spectroscopy of the 9030-9175 cm-1 states of ethylene.

The Journal of chemical physics·2026
Same journal

Time reversal breaking of colloidal particles in cells.

The Journal of chemical physics·2026
Same journal

Photodynamics of amino acids under UV excitation: Extraterrestrial amino acids.

The Journal of chemical physics·2026
See all related articles

This study uses a simple protein folding model to analyze molecular behavior under external forces. Results from simulations and theoretical expectations align, validating the model for predicting protein unfolding kinetics and free energy landscapes.

Area of Science:

  • Biophysics
  • Computational Biology
  • Protein Dynamics

Background:

  • Protein folding is a complex process crucial for biological function.
  • Understanding protein behavior under external forces is key to molecular mechanics.
  • Existing models like the Wako-Saito model provide a basis for studying protein dynamics.

Purpose of the Study:

  • To investigate the equilibrium and kinetic properties of model proteins under external forces.
  • To analyze the energy landscape and unfolding pathways of these molecules.
  • To validate theoretical predictions with computational simulations and experimental data.

Main Methods:

  • Utilized a generalized Wako-Saito model for protein folding.
  • Performed exact solutions to study equilibrium properties and energy landscapes.

Related Experiment Videos

  • Analyzed kinetic responses using force clamp and dynamic loading protocols.
  • Employed computer simulations to evaluate kinetic parameters.
  • Applied the extended Jarzynski equality for free energy landscape reconstruction.

    • Main Results:

    • The model accurately predicts equilibrium properties and energy landscapes of proteins.
    • Theoretical expectations for kinetic responses to external forces were verified.
    • Simulated kinetic parameters for protein unfolding showed good agreement with experimental data.
    • Demonstrated the feasibility of reconstructing protein free energy landscapes using pulling experiments.

    Conclusions:

    • The generalized Wako-Saito model is a powerful tool for studying protein behavior under force.
    • Computational simulations combined with theoretical frameworks can reliably predict protein unfolding kinetics.
    • The extended Jarzynski equality offers a viable method for experimental free energy landscape determination.