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. 2017 Mar 14;112(5):868–880. doi: 10.1016/j.bpj.2017.01.011

Figure 2.

Figure 2

The analytical N-E-F model (Eq. 2) accurately describes many features of simulated fibrillization kinetics. (Left column) Simulated data (circles) with indicated rate constants at base levels, increased by twofold, fivefold, and 10-fold. Every second data point is plotted for ease of inspection. Refer to Table 1 for base rate constants used to simulate data. (Solid lines) Fits to the N-E-F model (Eq. 2). (Right column) Fold-changes in rate constants recovered from fits to Eq. 2. Error bars (in many cases smaller than the points) reflect the standard errors of fitting generated by the Levenberg-Marquardt algorithm. (Dotted lines) No change in derived parameter from base timecourse (black); twofold increase or decrease (dark gray); fivefold increase or decrease (medium gray); 10-fold increase or decrease (light gray). Refer to Table 2 for derived parameters recovered from fits. Note that, for example, as kn is increased, the derived parameter kn/k also increases by the expected amount (data points all align with expected values shown in dotted lines). Meanwhile, the parameter k+k, which is independent of kn, does not change (data points lie along zero line). To see this figure in color, go online.