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Updated: Aug 14, 2026

Light-driven Molecular Motors on Surfaces for Single Molecular Imaging
Published on: March 13, 2019
"Burnt-bridge" mechanism of molecular motor motion
1Department of Physics and Center for Molecular Cybernetics, Boston University, Boston, Massachusetts 02215, USA.
Abstract:
Motivated by a biased diffusion of molecular motors with the bias dependent on the state of the substrate, we investigate a random walk on a one-dimensional lattice that contains weak links (called "bridges") which are affected by the walker. Namely, a bridge is destroyed with probability when p the walker crosses it; the walker is not allowed to cross it again and this leads to a directed motion. The velocity of the walker is determined analytically for equidistant bridges. The special case of p = 1 is more tractable--both the velocity and the diffusion constant are calculated for uncorrelated locations of bridges, including periodic and random distributions.
Insights
This study models a biased random walk where walkers destroy bridges, creating directed motion. Analytical solutions reveal how bridge destruction probability affects walker velocity and diffusion.
Area of Science:
- Statistical Mechanics
- Condensed Matter Physics
- Biophysics
Background:
- Molecular motors exhibit biased diffusion influenced by substrate interactions.
- Understanding transport phenomena in disordered systems is crucial.
Purpose of the Study:
- Investigate a one-dimensional random walk model with substrate-dependent bias.
- Analyze the effect of 'bridges' that are destroyed by the walker.
- Determine the walker's velocity and diffusion properties.
Main Methods:
- Analytical determination of walker velocity for equidistant bridges.
- Calculation of velocity and diffusion constant for specific bridge destruction probability (p=1).
- Analysis of uncorrelated bridge locations, including periodic and random distributions.
Main Results:
- Walker-induced bridge destruction leads to directed motion.
- Analytical solutions for walker velocity derived.
- Velocity and diffusion constant calculated for p=1, considering various bridge distributions.
Conclusions:
- The model provides insights into directed transport in systems with dynamic obstacles.
- Bridge destruction mechanism effectively induces directed motion in a random walk.
- The study offers a framework for analyzing biased diffusion in complex environments.
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