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

Dynamic transitions in coupled motor proteins.

Evgeny B Stukalin1, Anatoly B Kolomeisky

  • 1Department of Chemistry, Rice University, Houston, Texas 77005, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 12, 2006
PubMed
Summary

Interactions between motor proteins create distinct dynamic behaviors. Strong interactions lead to clustered movement, while weak interactions result in uncorrelated motion and increasing separation.

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

Sequence-Derived and Molecular Descriptors for Interpretable Modeling of Molecular Systems: Insights from Peptide Hemolysis.

Journal of chemical information and modeling·2026
Same author

Cooperative membrane association as a mechanistic origin of synergistic antimicrobial peptide activity.

RSC chemical biology·2026
Same author

Stochastic modeling of ovarian tissue cryopreservation and transplantation.

Biophysical journal·2026
Same author

Unraveling discrimination strategies in biological error-correction networks.

The Journal of chemical physics·2026
Same author

Collective RNAP Dynamics Link Transcriptional Strength to Fidelity.

The journal of physical chemistry letters·2026
Same author

Physical-chemical approach to identify local structural determinants of molecular mechanisms: Case study of antimalarial drug pyronaridine and crystal-growth inhibition.

The Journal of chemical physics·2026

Area of Science:

  • Theoretical biophysics
  • Statistical mechanics
  • Soft matter physics

Background:

  • Motor proteins are crucial for intracellular transport.
  • Understanding their collective dynamics is key to cellular function.
  • Interactions significantly influence protein behavior.

Purpose of the Study:

  • To theoretically investigate the impact of interactions on coupled motor protein dynamics.
  • To develop a stochastic discrete model for explicit calculation of dynamic properties.

Main Methods:

  • Development of a simple stochastic discrete model.
  • Explicit calculation of dynamic properties based on interaction strength.
  • Analysis of motor protein motion in different interaction regimes.

Main Results:

  • Identified two distinct dynamic regimes: clustered motion (strong interactions) and uncorrelated motion (weak interactions).
  • Determined a critical interaction strength, dependent on temperature and transition rates, separating these regimes.
  • Observed a change in mean velocities and a discontinuity in dispersions at the critical interaction for asymmetric motor proteins.

Conclusions:

  • Motor protein interaction strength dictates collective dynamics.
  • A critical interaction exists for asymmetric motor proteins, influencing their collective behavior.
  • The developed model provides insights into motor protein collective motion and its dependence on interactions.

Related Experiment Videos