Team BRS, UMR MICALIS

The BRS team specializes in synthetic biology. Within this field, the team has pioneered computational methods and experimental protocols to engineer biological circuits and networks for bioproduction, biosensing, and biocomputing. The team activities include:

- Synthetic biology laboratory automation

- Cell-free bioproduction and biosensing

- Biocomputing devices engineering

Last publications

• 
  Abhinav Pujar, Amit Pathania, Corbin Hopper, Amir Pandi, Matthias Fugger, et al.. Phage-mediated intercellular CRISPRi for biocomputation in bacterial consortia. 2024. ⟨hal-04699429⟩
• 
  Guillaume Gricourt, Philippe Meyer, Thomas Duigou, Jean-Loup Faulon. Artificial Intelligence Methods and Models for Retro-Biosynthesis. AI Methods and Models for (bio)catalysis and Synthetic Biology, Jun 2024, Montpellier, France. ⟨hal-04603192⟩
• 
  Guillaume Gricourt, Thomas Duigou, Sandra Dérozier, Jean-Loup Faulon. neo4jsbml: import systems biology markup language data into the graph database Neo4j. PeerJ, 2024, 12, pp.e16726. ⟨10.7717/peerj.16726⟩. ⟨hal-04424418⟩
• 
  Paul Ahavi, Bastien Mollet, Antoine Cornuéjols, Evelyne Lutton, Alberto Tonda, et al.. Neural-like computation using bacterial metabolism to solve machine-learning problems. DIM BioConvS - Innovation Day, Nov 2023, St-Ouen, France. ⟨hal-04312782⟩
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  Paul Ahavi, Bastien Mollet, Antoine Cornuéjols, Evelyne Lutton, Alberto Tonda, et al.. Solving regression problems using bacterial metabolism. 2023 Living Machines @ Work day, Oct 2023, Gif-sur-Yvette, France. . ⟨hal-04312498⟩

References

79

Full text

Open Access