Reprogrammable biological logic gate that exploits noise

Anna Dari, Adi R. Bulsara, William L. Ditto, Xiao Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Computation underlies the genetic regulatory network activities. Previous studies have designed and engineered systems that can perform single logic gate functionalities, trying to avoid external and internal random fluctuations. In this work, we demonstrate the possibility to exploit noise when it cannot be eliminated. In particular, we adapt the LSR paradigm to a single-gene network derived from the bacteriophage λ and to a more robust two-gene network derived from the yeast S. cerevisiae. Our results demonstrate that in both cases there is an optimal amount of noise where the biological logic gate can be externally reprogrammed (i.e. switch from the AND to the OR gate) and perform well according to the truth table.

Original languageEnglish (US)
Title of host publication2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011
Pages337-340
Number of pages4
DOIs
StatePublished - Dec 1 2011
Event2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011 - San Diego, CA, United States
Duration: Nov 10 2011Nov 12 2011

Publication series

Name2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011

Other

Other2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011
CountryUnited States
CitySan Diego, CA
Period11/10/1111/12/11

ASJC Scopus subject areas

  • Hardware and Architecture
  • Biomedical Engineering
  • Electrical and Electronic Engineering

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