Noisy information processing through transcriptional regulation.

@article{Libby2007NoisyIP,
  title={Noisy information processing through transcriptional regulation.},
  author={Eric Libby and Theodore J. Perkins and Peter S. Swain},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2007},
  volume={104 17},
  pages={7151-6}
}
Cells must respond to environmental changes to remain viable, yet the information they receive is often noisy. Through a biochemical implementation of Bayes's rule, we show that genetic networks can act as inference modules, inferring from intracellular conditions the likely state of the extracellular environment and regulating gene expression appropriately. By considering a two-state environment, either poor or rich in nutrients, we show that promoter occupancy is proportional to the… CONTINUE READING

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Environmental Statistics and Optimal Regulation

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Genes and Signals (Cold Spring Harbor Lab Press, Cold Spring Harbor, NY)

M Ptashne, A Gann
2002
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