- Conference Paper
Prediction of control structures in cell metabolism is a key open problem in systems biology, but the knowledge about dynamics of metabolic networks is often incomplete. Here, we propose a method for reconstructing robust transcriptional controllers based on the structure of the controlled system instead. It solves a discrete optimization problem whose decision variable models the interaction between transcription factors and metabolic genes by a specifically tuned search metaheuristic. By comparing the results with randomized controllers, we obtain estimates of interaction probabilities. An application to a medium-scale model of B. subtilis shows that the method yields high-confidence predictions for known interactions from a database. Beyond the prediction of novel interactions, the approach can be used in optimal experimental design because it includes an explicit description of biological disturbances. Show more
Book titleProceedings of the 18th World Congress
Journal / seriesIFAC Proceedings Volumes
Pages / Article No.
SubjectSystem identification; Global optimization; Statistical inference
Organisational unit03699 - Stelling, Jörg / Stelling, Jörg
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