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A synthetic protein-level neural network in mammalian cells
https://www.science.org/doi/10.1126/science.add8468
Bringing neural networks to life
A synthetic protein-based winner-take-all neural network controls cell fate decisions
https://www.science.org/doi/10.1126/science.adu1327
Chen et al. describe a protein-level synthetic circuit framework that implements a “winner-take-all” neural network capable of classifying the relative abundance of multiple inputs to modify the circuit output. This network replicates various classification circuits by adjusting the relative concentrations of a few components. By connecting this circuit to molecular pathways that regulate apoptosis, the authors demonstrate the promise of this approach for programming cell fate outcomes. This could be extended to design complex neural circuits that augment the computational capacity of cells.
perceptein: a combination of protein and perceptron.
biorxiv:
https://www.biorxiv.org/content/10.1101/2022.07.10.499405v1.full.pdf
https://phys.org/news/2024-12-perceptein-protein-based-artificial-neural.html
#neuralNetworks #biochem #systemsbiology #proteins #cellbiology
#bioengineering #technology
https://www.science.org/doi/10.1126/science.add8468
Bringing neural networks to life
A synthetic protein-based winner-take-all neural network controls cell fate decisions
https://www.science.org/doi/10.1126/science.adu1327
Chen et al. describe a protein-level synthetic circuit framework that implements a “winner-take-all” neural network capable of classifying the relative abundance of multiple inputs to modify the circuit output. This network replicates various classification circuits by adjusting the relative concentrations of a few components. By connecting this circuit to molecular pathways that regulate apoptosis, the authors demonstrate the promise of this approach for programming cell fate outcomes. This could be extended to design complex neural circuits that augment the computational capacity of cells.
perceptein: a combination of protein and perceptron.
biorxiv:
https://www.biorxiv.org/content/10.1101/2022.07.10.499405v1.full.pdf
https://phys.org/news/2024-12-perceptein-protein-based-artificial-neural.html
#neuralNetworks #biochem #systemsbiology #proteins #cellbiology
#bioengineering #technology