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. 2019 Aug 1;151(9):1116–1134. doi: 10.1085/jgp.201912327

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© 2019 Sato et al.

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Figure 7. — In silico stochastic self-assembly of protein clusters with realistic sizes and densities. (A) Plot of the relationships between P_n and cluster area at P_g/P_R ratios equal to 20 (P_g = 0.07, P_R = 0.0035), 40 (P_g = 0.07, P_R = 0.00175), 60 (P_g = 0.07, P_R = 0.001166667), 80 (P_g = 0.07, P_R = 0.000875), and 100 (P_g = 0.07, P_R = 0.0007). (B) Relationships between P_n and cluster density at P_g/P_R ratios equal to 20 (P_g = 0.07, P_R = 0.0035), 40 (P_g = 0.07, P_R = 0.00175), 60 (P_g = 0.07, P_R = 0.001166667), 80 (P_g = 0.07, P_R = 0.000875), and 100 (P_g = 0.07, P_R = 0.0007). For simulations in A and B, we averaged cluster area and density values at steady state for 2,000 iterations. (C) Effect of P_g/P_R ratios on cluster area. (D) Effect of P_g/P_R ratios on cluster density. (C and D) For these simulations, we set the value of P_n = 0.00005 (red traces) and P_n = 0.00045 (black traces), P_g = 0.07 and P_R ranged between 0.007 and 0.0007 to achieve P_g/P_R ratios of 10–100.