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Synthetic nonlinear computation for genetic circuit design.

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Synthetic biology utilizes nonlinear computation for biosignal processing in sensing and therapeutics. This review categorizes nonlinear biological computations across molecular, intracellular, and intercellular scales.

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Area of Science:

  • Synthetic biology
  • Systems biology
  • Biocomputation

Background:

  • Biological systems exhibit inherent nonlinearity across molecular, intracellular, and intercellular scales.
  • Nonlinear signal processing is crucial for biological functions like cooperative binding, feedback regulation, and population dynamics.
  • Existing computation frameworks in synthetic biology aim to harness these nonlinearities for biosensing and therapeutics.

Purpose of the Study:

  • To review and categorize existing works on nonlinear computations in synthetic biology.
  • To highlight the implementation of nonlinear computations across different biological scales.
  • To provide a framework for understanding biological signal processing.

Main Methods:

  • Literature review of studies implementing nonlinear computations in synthetic biology.
  • Categorization of reviewed works based on the scale of implementation: cis-transcription, biochemical circuit, and cellular networks.
  • Analysis of how molecular, intracellular, and intercellular mechanisms contribute to nonlinear signal processing.

Main Results:

  • Nonlinear computations are observed at multiple scales, from molecular cooperative binding to complex cellular network dynamics.
  • Cis-transcription level mechanisms, like cooperative binding, act as molecular weight variables.
  • Intracellular networks utilize feedback and feedforward loops for behaviors such as multistability and adaptation.
  • Intercellular networks generate population dynamics through distributed biochemical networks.

Conclusions:

  • Nonlinear computation is a fundamental principle in synthetic biology, enabling sophisticated signal processing.
  • Understanding and engineering nonlinearities across scales is key for advancing biosensing and therapeutic applications.
  • This review provides a structured overview of nonlinear computation strategies in synthetic biology.