A matrix computational approach to kinesin neck linker extension

John Hughes, William O. Hancock, John Fricks

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


Kinesin stepping requires both tethered diffusion of the free head and conformational changes driven by the chemical state of the motor. We present a numerical method using matrix representations of approximating Markov chains and renewal theory to compute important experimental quantities for models that include both tethered diffusion and chemical transitions. Explicitly modeling the tethered diffusion allows for exploration of the model under perturbation of the neck linker; comparisons are made between the computed models and in vitro assays.

Original languageEnglish (US)
Pages (from-to)181-194
Number of pages14
JournalJournal of Theoretical Biology
Issue number1
StatePublished - Jan 21 2011
Externally publishedYes


  • Chemical kinetics
  • Kinesin
  • Molecular motors
  • Renewal-reward process
  • Stochastic models

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • General Agricultural and Biological Sciences
  • Applied Mathematics


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