Analysis of the parameter fitting.

(A): Top row: sample histograms of the parameters qR, qC and wC. Yellow represents the entire sample population (uniform distribution), orange the samples for which the distances ΦC and ΦH are below the threshold τ = 0.05, and blue the samples fitting the entire truth table. Lower row: correlation between pairs of parameters in the 3 cases (same color code). For all 3 parameters, the orange histograms are no longer uniform, but restricted to smaller ranges. Such ranges concentrate even further for the feasible samples (blue), in particular the interval for qC becomes quite tight. The correlation plots indicate that the boundaries between parameters subsets are well-defined and sharp. In particular, both qR and wCR have to be big enough in order to fulfill the entire truth table (i.e., blue points are in the top right corner). Notice how instead the binding affinity qC cannot be big. (B): Sample histograms of the parameters qA and qB, and their correlation. Notice the sharp difference in the two histograms: qA ≪ qB for feasible samples. (C): Sample histograms of the interaction coefficients and . The two orange histograms have a neat difference, which is however only partially reflected in the feasible samples (blue). (D): Sample histograms of the interaction coefficients and . No clear trend appears.