Spectral correction for attenuating retroactivity in synthetic biology networks

Abstract

The reliability of synthetic biology systems is challenged by the undesired retroactive signals transmitted by the downstream modules to the upstream modules. These retroactive signals modify the input and output signals of the system, limiting the predictability of the system. This is viewed as similar to the loading effect on electrical, mechanical or hydraulic systems and is being studied using the typical engineering strategies. Here, we propose spectral analysis as a tool to explore and propose methods to attenuate this phenomenon. We select an existing system constituted by an input protein, which phosphorylates another protein to form the output, which further binds to another module in the downstream. The input signal with downstream connection is spectrally decomposed to four key components. We report how the dynamics of the system varies for each of the four components and its combinations. Our results show that the removal of the first harmonic component of the retroactive input signal can attenuate the retroactive effect. The biological significance and wet lab protocols for achieving this spectral correction is to be investigated further.

Authors and Affiliations

Silpa Bhaskaran, Achuthsankar S. Nair

Keywords

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  • EP ID EP391954
  • DOI 10.9790/9622-0708025965.
  • Views 110
  • Downloads 0

How To Cite

Silpa Bhaskaran, Achuthsankar S. Nair (2017). Spectral correction for attenuating retroactivity in synthetic biology networks. International Journal of engineering Research and Applications, 7(8), 59-65. https://europub.co.uk/articles/-A-391954