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A Logically Reversible Double Feynman Gate with Molecular Engineered Bacteria Arranged in an Artificial Neural
Rajkamal Srivastava1,2, Sangram Bagh1,2
1Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, Block A/F, Sector-I, Bidhannagar, Kolkata700064, India.
ACS Synthetic Biology
|November 16, 2022
Summary
Scientists engineered E. coli bacteria to create the first reversible double Feynman logic gate using synthetic biology. This novel approach utilizes engineered bacteria as "bactoneurons" within an artificial neural network architecture for potential biocomputer advancements.
Area of Science:
- Synthetic Biology
- Biocomputing
- Reversible Computing
Background:
- Reversible logic gates are crucial for reversible computing, enabling one-to-one input-output mapping for signal pattern recovery.
- Implementing reversible computing in living cells is challenging due to the rarity of logical reversibility in synthetic genetic circuits.
- Biological systems' energy efficiency inspires efforts to achieve reversible computation within cells.
Purpose of the Study:
- To construct a synthetic genetic reversible double Feynman logic gate using engineered E. coli.
- To explore the application of artificial neural network (ANN) concepts in biological systems for computational tasks.
- To demonstrate logical reversibility in living cells for potential biocomputer technology development.
Main Methods:
- Engineered five distinct E. coli strains ('bactoneurons') forming a single-layer artificial neural network.
- Utilized three extracellular chemicals as input signals and three fluorescence proteins as output signals.
- Designed synthetic genetic networks within E. coli to process input signals linearly, apply nonlinear activation, and adjust network weights and biases.
Main Results:
- Successfully constructed a 3-input-3-output synthetic genetic reversible double Feynman logic gate at the population level.
- Demonstrated that the engineered bacterial ANN architecture can perform a specific reversible logic function.
- Achieved the first known realization of a reversible double Feynman gate using living cells.
Conclusions:
- This work presents a novel method for implementing reversible logic gates in living cells using an ANN-inspired architecture.
- The successful demonstration of a reversible double Feynman gate in E. coli opens new avenues for biocomputer technology.
- Findings have potential significance for advancing reversible computation, ANN wetware, and synthetic biology applications.
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