Literature DB >> 18517571

Molecular motors interacting with their own tracks.

Max N Artyomov1, Alexander Yu Morozov, Anatoly B Kolomeisky.   

Abstract

Dynamics of molecular motors that move along linear lattices and interact with them via reversible destruction of specific lattice bonds is investigated theoretically by analyzing exactly solvable discrete-state "burnt-bridge" models. Molecular motors are viewed as diffusing particles that can asymmetrically break or rebuild periodically distributed weak links when passing over them. Our explicit calculations of dynamic properties show that coupling the transport of the unbiased molecular motor with the bridge-burning mechanism leads to a directed motion that lowers fluctuations and produces a dynamic transition in the limit of low concentration of weak links. Interaction between the backward biased molecular motor and the bridge-burning mechanism yields a complex dynamic behavior. For the reversible dissociation the backward motion of the molecular motor is slowed down. There is a change in the direction of the molecular motor's motion for some range of parameters. The molecular motor also experiences nonmonotonic fluctuations due to the action of two opposing mechanisms: the reduced activity after the burned sites and locking of large fluctuations. Large spatial fluctuations are observed when two mechanisms are comparable. The properties of the molecular motor are different for the irreversible burning of bridges where the velocity and fluctuations are suppressed for some concentration range, and the dynamic transition is also observed. Dynamics of the system is discussed in terms of the effective driving forces and transitions between different diffusional regimes.

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Year:  2008        PMID: 18517571     DOI: 10.1103/PhysRevE.77.040901

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

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Authors:  Jonathan W Armond; Matthew S Turner
Journal:  Biophys J       Date:  2010-04-21       Impact factor: 4.033

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Authors:  Christina L Ting; Dmitrii E Makarov; Zhen-Gang Wang
Journal:  J Phys Chem B       Date:  2009-04-09       Impact factor: 2.991

  2 in total

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