A matrix computational approach to kinesin neck linker extension

John Hughes, William O. Hancock, John Fricks

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

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
Volume269
Issue number1
DOIs
StatePublished - Jan 21 2011

Fingerprint

Kinesin
kinesin
neck
Neck
Renewal Theory
Markov Chains
Matrix Representation
Markov processes
Assays
Markov chain
Numerical methods
Theoretical Models
Numerical Methods
Head
Model
Perturbation
Modeling
assays

All Science Journal Classification (ASJC) codes

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

Cite this

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A matrix computational approach to kinesin neck linker extension. / Hughes, John; Hancock, William O.; Fricks, John.

In: Journal of Theoretical Biology, Vol. 269, No. 1, 21.01.2011, p. 181-194.

Research output: Contribution to journalArticle

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