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. 2012 Aug 20;109(36):14410-14415. doi: 10.1073/pnas.1202952109

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Fig. 5. — Filtering of SR condition. Shown are the p_fold(t) of P5GA under at varying combinations of δf_i with Ω₁ = 2π/0.1 ms^-1, Ω₂ = 2π/10 ms^-1, Ω₃ = 2π/100 ms^-1, and f = 17 pN. For filled symbols, we fix δf₂ = 1.4 pN, corresponding to the amplitude for the optimal frequency Ω₂ for SR, and vary the other amplitudes to be δf₁ = δf₃ = 1.4 pN (filled squares), 1.7 pN (filled circles), and 2.0 pN (filled triangles), respectively. The starred symbols represent the cases where δf₁, δf₂ and δf₃ are taken randomly between 0 and 2 pN every time step to make a nonequilibrium noise δf(t). Notably, the folding transition filters the optimal driving period despite other drivings with larger or transient amplitudes.

Inline graphic — Filtering of SR condition. Shown are the p_fold(t) of P5GA under at varying combinations of δf_i with Ω₁ = 2π/0.1 ms^-1, Ω₂ = 2π/10 ms^-1, Ω₃ = 2π/100 ms^-1, and f = 17 pN. For filled symbols, we fix δf₂ = 1.4 pN, corresponding to the amplitude for the optimal frequency Ω₂ for SR, and vary the other amplitudes to be δf₁ = δf₃ = 1.4 pN (filled squares), 1.7 pN (filled circles), and 2.0 pN (filled triangles), respectively. The starred symbols represent the cases where δf₁, δf₂ and δf₃ are taken randomly between 0 and 2 pN every time step to make a nonequilibrium noise δf(t). Notably, the folding transition filters the optimal driving period despite other drivings with larger or transient amplitudes.