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Synthetic biology enables programming cells as computers, but current applications focus on simple functions. Future research should explore the full computational power of living systems, moving beyond basic Turing computation.

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Area of Science:

  • Synthetic Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Living cells, like bacteria, can be engineered into "cellular computers" that execute programmed functions.
  • Advancements in synthetic biology have enabled precise genetic engineering of these cellular systems.
  • Current research primarily focuses on combinatorial logic functions within engineered cells.

Purpose of the Study:

  • To advocate for exploring the broader computational capabilities of biological systems beyond current combinatorial functions.
  • To encourage interdisciplinary collaboration between theoretical computer science and synthetic biology.
  • To investigate the potential of living systems for complex computations, including stateful processing.

Main Methods:

  • Leveraging advancements in molecular biology and microbiology for precise genetic engineering.
  • Designing and implementing synthetic genetic circuits for specific computational tasks.
  • Exploring theoretical computer science frameworks to understand biological computation.

Main Results:

  • Engineered cells can be programmed with algorithmic rules encoded in their genomes.
  • Synthetic biology allows for the creation of living systems with defined computing capabilities.
  • The potential for complex computations in biological systems is largely untapped.

Conclusions:

  • Biological systems offer vast, unexplored computational potential beyond current applications.
  • Synergies between theoretical computer science and synthetic biology are crucial for advancing cellular computing.
  • Future research should focus on understanding and exploiting the full computing power of living systems, including their ability to handle stateful computations and solve complex problems.