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Recent single molecule experiments have allowed for improved understanding of the dynamics of molecular motors of myosin-V and kinesin, for instance that myosin-V walks in a hand-over-hand, as opposed to inchworm, manner. We analyse previously published time series data of myosin-V walking with a recently developed method, that of the Kramers-Moyal coefficients, which permits further inferences to be made about the dynamics of the motor's stepping motion.
The Kramers-Moyal method promises broad application of stochastic time series -- and data from cell biology is frequently indeed stochastic. This method and its appeal will be reviewed. Extensions of the Kramers-Moyal method to account for geometrical and finite-time effects have also been developed. |
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