The apparent imprecisions in the signal transduction mechanisms that c
ouple 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 formall
y describing signal transduction systems and making predictions about
the effects of various combinations of inputs. The fuzzy logic model m
ay provide opportunities mathematically to describe regulatory ensembl
es that are too complex to describe by conventional models. In additio
n, the nature of ''fuzzy variables'' provides insight into the paradox
es that underlie both imprecision and predictability in signal transdu
ction. (C) 1997, Elsevier Science Inc.