Stochastic Analysis of the Motion of DNA Nanomechanical Bipeds
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In this paper, we formulate and analyze a Markov process modeling the motion of DNA nanomechanical walking devices. We consider a molecular biped restricted to a well-defined one-dimensional track and study its asymptotic behavior. Our analysis allows for the biped legs to be of different molecular composition, and thus to contribute differently to the dynamics. Our main result is a functional central limit theorem for the biped with an explicit formula for the effective diffusivity coefficient in terms of the parameters of the model. A law of large numbers, a recurrence/transience characterization and large deviations estimates are also obtained. Our approach is applicable to a variety of other biological motors such as myosin and motor proteins on polymer filaments.
KeywordsDNA nanodevices Molecular spiders Controlled random walks Markov additive processes Law of large numbers Recurrence-transience criteria Large deviations Central limit theorem Regeneration structure
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