Configurable Full Subtractor and Adder by Lego-like Mixing and Matching of Engineered Bacteria
Bonnerjee, D.; Chakraborty, S.; Bagh, S.
Show abstract
One of the long-term goals of synthetic bioengineering is to create configurable and programmable biological systems by just mixing and matching "LEGO"-like bio-modules. Here, we introduce a configurable and modular multi-cellular system where, from a small library of nine discrete engineered bacterial cells, a full subtractor and a full adder can be built on demand by just mixing and matching seven appropriate cell types in a culture. Here, each set of engineered bacteria was modelled as an artificial neuro-synapse that, in a co-culture, formed a single layer artificial neural network (ANN) type architecture that worked as a biochemical full subtractor or full adder. The system is configurable with interchangeable cellular modules, whereby through simply interchanging two cell types in the subtractor culture, a full adder can be built and vice versa. This Lego-like mix and match system is mathematically predictive, and provide a flexible and scalable means to build complex cellular functions. This work may have significance in biocomputer technology development, multi-cellular synthetic biology, and cellular hardware for ANN.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- A Synthetic Genetic Reversible Feynman Gate in a Single E.coli Cell and its Application in Bacterial to Mammalian Cell Information Transfer 97%
- Investigating And Modeling the Factors that Effects the Performance of Genetic Circuits 97%
- Diagnostic and Therapeutic Microbial Circuit with Application to Intestinal Inflammation 95%
Similar papers in this journal
- Escherichia coli chemotaxis to competing stimuli in a microfluidic device with a constant gradient 92%
- Improved, scalable, two-stage, autoinduction of recombinant protein expression in E. coli utilizing phosphate depletion. 92%
- Balancing doses of EL222 and light improves optogenetic induction of protein production in Komagataella phaffii 91%
Similar papers in this journal
- End-to-end computational approach to the design of RNA biosensors for miRNA biomarkers of cervical cancer 94%
- Converting Escherichia coli MG1655 into a chemical overproducer through inactivating defense system against exogenous DNA 93%
- Simplified Methodology for a Modular and Genetically Expanded Protein Synthesis in Cell-Free Systems 93%
Similar papers in this journal
- Active and machine learning-based approaches to rapidly enhance microbial chemical production 94%
- Development of a growth coupled dynamic regulation network balancing malonyl-CoA node to enhance (2S)-naringenin synthesis in E. coli 93%
- CIFR (Clone-Integrate-Flip-out-Repeat): a toolset for iterative genome and pathway engineering of Gram-negative bacteria 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.