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Duke et al.8 provide a relation between the average distance 〈d〉 of kinesin molecules bound to a microtubule and the surface concentration σ of active kinesins. It is assumed that kinesin motors can reach isotropically over a distance w ≈ 20 nm to attach to a microtubule. If the motor density is very high, such that the microtubule tip can bend much less than its diameter, σ ∼(1/〈d〉w, If the surface density is lower, the microtubule end can explore a larger area and σ ∼ √p/〈d〉5, where p is the persistence length of the tip. The boundary between the two regimes is at σ ∼ w-5/3p-511. If we estimate 〈d〉 ≤ 0.5 μm and p ∼ 0.5 mm, then we find in both regimes that a ∼ 102 μm-2, which is also approximately the value of σ*, justifying the use of these relations. Fin
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We simulated 1137 microtubule trajectories with a velocity that is Gaussian distributed with 0.78 ± 0.07 μm (mean ± STD, The distribution of simulated trajectory lengths was made similar to the experimental data by randomly picking a predetermind length for each simulated trajectory from an exponential distribution that resembled the experimental data. For the microtubule tip length, we assumed that it was exponentially distributed with mean 0.26 μm, although the length distribution of the tip is of no relevance to the evolution of the trajectory angle eq 1, For the persistence length we took p =195 μm. The coordinates of the microtubule after each step of random length were calculated based on its initial position, it momentarily tip length and tip orientation that were randomly picked from an exponential and Gaussian distribution, respectively. Afterwards, the positions of the leading tip were collected with 1 s intervals. We confirmed that adding a r
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We simulated 1137 microtubule trajectories with a velocity that is Gaussian distributed with 0.78 ± 0.07 μm (mean ± STD). The distribution of simulated trajectory lengths was made similar to the experimental data by randomly picking a predetermind length for each simulated trajectory from an exponential distribution that resembled the experimental data. For the microtubule tip length, we assumed that it was exponentially distributed with mean 0.26 μm, although the length distribution of the tip is of no relevance to the evolution of the trajectory angle (eq 1). For the persistence length we took p =195 μm. The coordinates of the microtubule after each step of random length were calculated based on its initial position, it momentarily tip length and tip orientation that were randomly picked from an exponential and Gaussian distribution, respectively. Afterwards, the positions of the leading tip were collected with 1 s intervals. We confirmed that adding a random variance onto the tip coordinates, representing the effects of pixel noise and errors in the tracing routine, did not affect the results.
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