Skip to main navigation Skip to search Skip to main content

Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites: Non-processive molecular motor clusters

  • University of Sheffield

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

Molecular motors are responsible for intracellular transport of a variety of biological cargo. We consider the collective behaviour of a finite number of motors attached on a cargo. We extend previous analytical work on processive motors to the case of non-processive motors, which stochastically bind on and off cytoskeletal filaments with a limited number of binding sites available. Physically, motors attached to a cargo cannot bind anywhere along the filaments, so the number of accessible binding sites on the filament should be limited. Thus, we analytically study the distribution and the velocity of a cluster of non-processive motors with limited number of binding sites. To validate our analytical results and to go beyond the level of detail possible analytically, we perform Monte Carlo latticed based stochastic simulations. In particular, in our simulations, we include sequence preservation of motors performing stepping and binding obeying a simple exclusion process. We find that limiting the number of binding sites reduces the probability of non-processive motors binding but has a relatively small effect on force-velocity relations. Our analytical and stochastic simulation results compare well to published data from in vitro and in vivo experiments.

Original languageEnglish
Article number200527
JournalRoyal Society Open Science
Volume7
Issue number8
DOIs
Publication statusPublished - 1 Aug 2020
Externally publishedYes

Keywords

  • collective behaviour
  • intracellular transport
  • modelling
  • molecular motors

Fingerprint

Dive into the research topics of 'Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites: Non-processive molecular motor clusters'. Together they form a unique fingerprint.

Cite this