Metadata only
Date
2011-01Type
- Conference Paper
ETH Bibliography
yes
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Abstract
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
Publication status
publishedExternal links
Book title
Proceedings of the 18th World CongressJournal / series
IFAC Proceedings VolumesVolume
Pages / Article No.
Publisher
ElsevierEvent
Subject
System identification; Global optimization; Statistical inferenceOrganisational unit
03699 - Stelling, Jörg / Stelling, Jörg
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ETH Bibliography
yes
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