سند علمی

Regular gaits and optimal velocities for motor proteins.

چکیده

It has been observed in numerical experiments that adding a cargo to a motor protein can regularize its gait. Here we explain these results via asymptotic analysis on a general stochastic motor protein model. This analysis permits a computation of various observables (e.g., the mean velocity) of the motor protein and shows that the presence of the cargo also makes the velocity of the motor nonmonotone in certain control parameters (e.g., ATP concentration). As an example, we consider the case of a single myosin-V protein transporting a cargo and show that, at realistic concentrations of ATP, myosin-V operates in the regime which maximizes motor velocity. Our analysis also suggests an experimental regimen which can test the efficacy of any specific motor protein model to a greater degree than was heretofore possible.

اسناد مشابه

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    We investigate the origin of the regularity and synchrony which have been observed in numerical experiments of two realistic models of molecular motors, namely Fisher-Kolomeisky's model of myosin V for vesicle transport in cells and Duke's model of myosin II for sarcomere shorten

  • Regular Gaits and Optimal Velocities for Motor Proteins

    مقاله‌ی دسترسی آزاد۲۰۰۸Biophysical JournalR. E. LeeDeVille, EricVanden-Eijnden
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    سند علمی۲۰۱۵European journal of physical and rehabilitation medicineC Chisari, F Bertolucci, V Monaco, M Venturi

    BACKGROUND Robotics and related technologies are realizing their promise to improve the delivery of rehabilitation therapy but the mechanism by which they enhance recovery is still unknown. The electromechanical-driven gait orthosis Lokomat has demonstrated its utility for gait r

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    سند علمی۲۰۰۷Gait & postureA Peppe, C Chiavalon, P Pasqualetti, D Crovato

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  • Locomotion Gait Optimization for a Quadruped Robot

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    Legged robot gait generation is a challenging task that involves the control of a large number of degrees of freedom (DOF’s) within a mechanical structure that varies during locomotion. A large number of motion parameters have to be considered in order to obtain a stable, natural

  • Estimating Velocity for Processive Motor Proteins with Random Detachment.

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    We show that, for a wide range of models, the empirical velocity of processive motor proteins has a limiting Pearson type VII distribution with finite mean but infinite variance. We develop maximum likelihood inference for this Pearson type VII distribution. In two simulation stu