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Table 3 Linear dependence of the overall rate of feed-forward motifs on the number of motive nodes

From: Cellular automata simulation of topological effects on the dynamics of feed-forward motifs

Series N Iterations range Regression R2 SD %
FFA-50 3–9 804 – 2160 219.00 N + 227.14 0.9796 4.14
FFB-50 4–10 1735 – 3736 320.18 N + 483.46 0.9966 1.43
FFC-50 4–10 2043 – 4530 402.36 N + 481.36 0.9980 1.71
FFD-50 4–10 1375 – 3428 329.93 N + 148.50 0.9939 2.38
FFE-50 4–10 1080 – 2247 202.93 N + 258.64 0.9874 2.62
FFF-50 4–10 785 – 1574 133.36 N + 235.07 0.9981 1.70
FFG-50 4–10 1955 – 4104 365.61 N + 395.89 0.9900 2.78
FFA-100 3–9 2966 – 8444 920.75 N + 187.50 0.9996 0.31
FFB-100 4–10 4187 – 9044 800.93 N + 998.07 0.9994 0.29
FFC-100 4–10 4542 – 10565 993.71 N + 556.00 0.9990 0.25
FFD-100 4–10 3291 – 8067 802.64 N + 89.357 0.9993 0.34
FFE-100 4–10 3505 – 7599 683.57 N + 766.14 0.9994 0.33
FFF-100 4–10 2408 – 4927 418.21 N + 705.07 0.9991 0.50
FFG-100 4–10 2721 – 5086 397.61 N + 1121.8 0.9991 0.42
  1. The overall rate is measured by the number of iterations needed for 50% and 100% conversion of the source substrate into the target product. Seven series (Fig. 3) of feed-forward motifs with different topology, constant number of source cells, N = 500, and constant lattice density, D = 3.6%, are studied.