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. Author manuscript; available in PMC: 2013 Nov 1.
Published in final edited form as: Integr Biol (Camb). 2012 Nov;4(11):10.1039/c2ib20193c. doi: 10.1039/c2ib20193c

Fig. 1.

Fig. 1

Logic models approximate molecular interactions. The motivation behind logic models comes from the sigmoidal relationship observed between regulatory molecules and their target molecules. This relationship approximates a Boolean switch and can be thought of as having two states: saturated (ON) and non-saturated (OFF). (A) An inhibitor regulates a target molecule in a logic model: the target remains ON until the inhibitor’s activity surpasses a threshold of activation. (B) An activator regulates a target molecule in a logic model: the target remains OFF until the activator’s activity surpasses a threshold of activation. In these models, ON means the molecule has reached a threshold of functional activation that is high enough to affect the state of other molecule(s) it directly regulates, while OFF means the molecule is not present at a high enough level to affect the molecules it directly regulates. Critically, OFF does not necessarily mean the molecule has a zero concentration. (C) A standard hyperbolic saturation curve measuring reaction velocity, v, as substrate concentration, S, increases. K0.5 is the substrate concentration needed to reach half the maximum velocity, Vmax. (D) A plot of v/Vmax vs. S/K0.5 (the specific substrate concentration) takes the form of a sigmoidal saturation curve approximating a Boolean- ≪1 like switch. When S/K0.5 1, the reaction is effectively OFF. When S/K0.5is ≫1, the reaction is effectively ON.