Synthetic Gene Circuits Learn to Classify

Didovyk, Andriy; Tsimring, Lev S.

doi:10.1016/j.cels.2017.02.001

Cell Systems

2017

DOI: 10.1016/j.cels.2017.02.001

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Synthetic Gene Circuits Learn to Classify

Andriy Didovyk

Lev S. Tsimring

Abstract: SUMMARY An efficient computational algorithm is developed to design microRNA-based synthetic cell classifiers and optimize their performance.

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2022

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Engineered sensor bacteria evolve master-level gameplay through accelerated adaptation

Racovita

Prakash

Varela

et al. 2022

Preprint

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The engineering of living cells able to learn algorithms by themselves, such as playing board games —a classic challenge for artificial intelligence— will allow complex ecosystems and tissues to be chemically reprogrammed to learn complex decisions. However, current engineered gene circuits encoding decision-making algorithms have failed to implement self-programmability and they require supervised tuning. We show a strategy for engineering gene circuits to rewire themselves by reinforcement learning. We created a scalable general-purpose library of Escherichia coli strains encoding elementary adaptive genetic systems capable of persistently adjusting their relative levels of expression according to their previous behavior. Our strains can learn the mastery of 3×3 board games such as tic-tac-toe, even when starting from a completely ignorant state. We provide a general genetic mechanism for the autonomous learning of decisions in changeable environments.One-Sentence SummaryWe propose a scalable strategy to engineer gene circuits capable of autonomously learning decision-making in complex environments.

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Engineered sensor bacteria evolve master-level gameplay through accelerated adaptation

Racovita

Prakash

Varela

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

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Synthetic Gene Circuits Learn to Classify

Abstract: SUMMARY An efficient computational algorithm is developed to design microRNA-based synthetic cell classifiers and optimize their performance.

Cited by 1 publication

References 9 publications

Engineered sensor bacteria evolve master-level gameplay through accelerated adaptation

Engineered sensor bacteria evolve master-level gameplay through accelerated adaptation

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