2010
DOI: 10.1016/j.bpj.2010.09.066
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Improved Hidden Markov Models for Molecular Motors, Part 2: Extensions and Application to Experimental Data

Abstract: Unbiased interpretation of noisy single molecular motor recordings remains a challenging task. To address this issue, we have developed robust algorithms based on hidden Markov models (HMMs) of motor proteins. The basic algorithm, called variable-stepsize HMM (VS-HMM), was introduced in the previous article. It improves on currently available Markov-model based techniques by allowing for arbitrary distributions of step sizes, and shows excellent convergence properties for the characterization of staircase moto… Show more

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Cited by 30 publications
(21 citation statements)
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“…The model-free detector algorithm, developed for counting the number of steps in GFP photobleaching data (Chen et al, 2014), has been applied with success to molecular motor data (Mickolajczyk et al, 2015). Model-dependent algorithms incorporate known information (a model) into the decision-making process for step finding (Kerssemakers et al, 2006; Milescu, Yildiz, Selvin, & Sachs, 2006a, 2006b; Mullner, Syed, Selvin, & Sigworth, 2010; Syed, Mullner, Selvin, & Sigworth, 2010). Example models might be the known lattice spacing of the filament or the known number of steps in a trace.…”
Section: Methods and Protocolsmentioning
confidence: 99%
“…The model-free detector algorithm, developed for counting the number of steps in GFP photobleaching data (Chen et al, 2014), has been applied with success to molecular motor data (Mickolajczyk et al, 2015). Model-dependent algorithms incorporate known information (a model) into the decision-making process for step finding (Kerssemakers et al, 2006; Milescu, Yildiz, Selvin, & Sachs, 2006a, 2006b; Mullner, Syed, Selvin, & Sigworth, 2010; Syed, Mullner, Selvin, & Sigworth, 2010). Example models might be the known lattice spacing of the filament or the known number of steps in a trace.…”
Section: Methods and Protocolsmentioning
confidence: 99%
“…Peroxisome velocities distributions and trajectory components were analyzed using a two-state HMM procedure similar to methods described in ref. 37. The velocity distributions used for these analyses were constructed by examining the distance peroxisomes were displaced in a 77-ms time window.…”
Section: Methodsmentioning
confidence: 99%
“…Thus unwinding trajectories are often analyzed with a step detection method. Several step detection methods have been developed to analyze single-molecule trajectories of molecular motors [3842]. All of these methods assume discrete, essentially instantaneous, step transitions that reflect the fundamental discrete motion of motor proteins moving on polymeric tracks with well-defined unitary steps.…”
Section: Methodsmentioning
confidence: 99%