x0 signaling applied as square pulses of magnitude 1 and duration 1.
This model according to the paper A Theoretical Framework for Specificity in Cell Signalling The model is "basic architecture" of Figure2A. Figure2B, Figure2C have been reproduced by MathSBML. The reproduced figures are slightly different from the original ones in the paper, the peak of [x2] is higher than 1 and is not decreasing dramatically when [x0]=0. And I think maybe the author shift the or scale the curves. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
x0(t) and y0(t) are the signal functions. The authors assume the network only receives one of the two signals at a time. Thus, if y0(t) is postive for some duration of time, then x0(t) is identically zero, and visa versa.
x0(t) and y0(t) are the signal functions. The authors assume the network only receives one of the two signals at a time. Thus, if x0(t) is postive for some duration of time, then y0(t) is identically zero, and visa versa.