2006
DOI: 10.1529/biophysj.105.070888
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A Kinetic Model Describing the Processivity of Myosin-V

Abstract: The precise details of how myosin-V coordinates the biochemical reactions and mechanical motions of its two head elements to engineer effective processive molecular motion along actin filaments remain unresolved. We compare a quantitative kinetic model of the myosin-V walk, consisting of five basic states augmented by two further states to allow for futile hydrolysis and detachments, with experimental results for run lengths, velocities, and dwell times and their dependence on bulk nucleotide concentrations an… Show more

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Cited by 28 publications
(62 citation statements)
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References 49 publications
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“…Searching a 25-dimensional space is an intrinsically difficult problem. We used a Monte Carlo strategy (Materials and Methods) (37,38). A cost function quantified the least-squares difference between the data of Fig.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Searching a 25-dimensional space is an intrinsically difficult problem. We used a Monte Carlo strategy (Materials and Methods) (37,38). A cost function quantified the least-squares difference between the data of Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The four-state model has 25 free parameters, precluding a deterministic search or mapping of the parameter space. We adapted a Monte Carlo search strategy (38), using simplex optimization to find local minima starting from randomly generated points in parameter space. We defined a cost function to determine the quality of fit to experimental data for each parameter set, both during and after the simplex optimization, Err ¼ ∑X:…”
Section: Methodsmentioning
confidence: 99%
“…Myosin head functions through its ATPase reaction as a force generator and as a mechanosensor, and two myosin heads work together in moving along an actin filament which is involved in a wide range of transport and contractile activities in cells (59,60).…”
Section: Myosin Head Domain Containing Proteinmentioning
confidence: 99%
“…The large persistence length l p of the lever arms (26)(27)(28) allows us to propose a coarse-grained polymer model for the reaction-diffusion problem, which, in turn, yields approximate analytical expressions for all the physical observables, including binding times, run length, velocity, and stall force. We have built on the insights of earlier theoretical works (28)(29)(30)(31)(32)(33)(34), which focused on modeling a reaction network of discrete states in the mechanochemical cycle of the motor heads. Our work supplements the reaction network with an explicit treatment of the diffusive search, which has been studied using insightful Brownian dynamics simulations of forward stepping in MyoV (35).…”
mentioning
confidence: 99%