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. 2018 Aug 17;9:3305. doi: 10.1038/s41467-018-05822-0

Fig. 1.

Fig. 1

Linear mapping approximation (LMA) and its application to steady-state conditions. a Illustration of the main idea behind the LMA namely to approximate the reversible (nonlinear) reaction between protein and promoter in the nonlinear GRN by a first-order (linear) reaction with an effective reaction rate in a linear GRN. b The upper figure shows a heatmap of Hellinger distance (HD) between the LMA and the exact probability distribution of protein numbers in steady-state conditions with parameters ρu = 10, σu = 0.01 for the nonlinear GRN shown in a. The exact distribution is reported in7. The bottom figure shows a heatmap of Λ, which is the ratio of the values of the two eigenvalues of the Jacobian of the deterministic rate equations of the nonlinear GRN in steady-state conditions. The red broken line denotes the contour line of Λ = 1. Note that the value of the HD is very small over a wide range of the ratio of time scales Λ indicating that the LMA’s accuracy is independent of time-scale separation. c A comparison of the LMA and exact steady-state distributions for Points A and Point B, marked as white stars, on the heatmap in b; note that Point A corresponds to the parameter set with the largest HD (ρb = 100, σb = 0.0126 with HD of 0.0478). Point B corresponds to ρb = 35, σb = 0.004 with HD of 0.0032