Abstracting Reaction to Boolean Networks for Improving Inference and Control in Systems Biology – REBON
We propose to develop abstractions of reaction networks to Boolean networks with the most permissive semantics. This is relevant for improving inference of networks from data and the control of networks modeling biological systems. We consider two particular
case studies. The first concerns the understanding of the evolution of microalgae populations in ocean ecology and the second the control of the metabolism of the model organism Bacillus subtilis by gene knockouts for overproducing antimicrobial lipopeptides usable in agroecology.
Project coordination
Joachim NIEHREN (Centre Inria de l'Université de Lille)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partnership
UMR 9189 - CRISTAL - Centre de Recherche en Informatique, Signal et Automatique de Lille
LaBRI Laboratoire Bordelais de Recherche en Informatique
Inria Centre Inria de l'Université de Lille
Help of the ANR 551,723 euros
Beginning and duration of the scientific project:
- 60 Months
