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...

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Bibliographic Details
Published in:Trends in endocrinology and metabolism 1997-05, Vol.8 (4), p.123-129
Main Authors: Horseman, Nelson D., Engle, Sandra J., Ralescu, Anca
Format: Article
Language:English
Subjects:
Biological and medical sciences
Cell physiology
Fundamental and applied biological sciences. Psychology
Molecular and cellular biology
Signal transduction
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Summary: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. (Trends Endocrinol Metab 1997;8:123–129). © 1997, Elsevier Science Inc.
ISSN:1043-2760
1879-3061
DOI:10.1016/S1043-2760(97)00001-5