Fig. 11
From: Designing synthetic networks in silico: a generalised evolutionary algorithm approach
Pareto front for incoherent feed-forward loops as in [33]. a Pareto front obtained by weighting different scoring functions. Grey dots = both objectives are equally weighted. Blue dots = sensitivity objective is weighted to double that of the precision objective. Red dots = precision objective is weighted to double that of the sensitivity objective. b Simulations from Pareto optimal networks. Blue line is simulation of network optimised for sensitivity to inputs. Red line is simulation from a network optimised for a precise return to pre-input concentration levels