The logic of signaling from the cell surface to the nucleus.
The apparent imprecisions in the signal transduction mechanisms that couple specific hormone receptors to predictable nuclear transcription events have raised many issues for both biology and medicine. In this article, a fuzzy logic model is proposed to provide a means of formally describing signal transduction systems and making predictions about the effects of various combinations of inputs. The fuzzy logic model may provide opportunities mathematically to describe regulatory ensembles that are too complex to describe by conventional models. In addition, the nature of "fuzzy variables" provides insight into the paradoxes that underlie both imprecision and predictability in signal transduction.
Horseman
N D
ND
Department of Molecular and Cellular Physiology, University of Cincinnati, Cincinnati, OH 45267-0576, USA.
Engle
S J
SJ
Ralescu
A
A