FIG. 3.
Uniqueness of best fit parameters. Top left: The posterior distribution produced by the Markov chain Monte Carlo fit (Fig. 2 Bottom panel solid green line) of the long-range maximally asymmetric model (0,4] to the D34CyCof severing RSKactin data is shown in grayscale and with contours denoting the regions corresponding to confidence levels of 1σ, 2σ, and 3σ. Top right: The same distribution is shown in a wider view of the parameter space. The extent of the top-left portion is shown in a dashed box. The marginal distributions of Q and W are displayed outside the axes, showing that the parameter region within the dashed box is a unique best fit. Q and W terms are in units of kBT. To show the behavior range accessible to the Hamiltonian, five colored points are marked which correspond to the curves shown in the bottom half. Bottom: The predicted filament length is shown as a function of cofilin binding fraction for the five different points in parameter space marked on the top-right panel (colors correspond between the panels). While very different behaviors are exhibited by different parts of parameter space, the correct model converges and is quite fundamentally constrained within a narrow parameter space, consistent with a unique solution.