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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Integration of probabilistic regulatory networks into constraint-based models of metabolism with applications to Alzheimer’s disease

Fig. 1

A schematic of the interface between the probabilistic model of gene regulatory networks (green) and constraint-based models of metabolism (yellow). Light blue boxes indicate core models and data. White boxes correspond to predicted models. Control and AD gene expression is used to characterize metabolic states via FVA (flux variability analysis) in a control metabolic model of brain metabolism and an AD metabolic model of brain metabolism. The BN is used to predict the enzymatic responses of enzymes in the model after HIF-1A modulation in control and AD models using belief propagation. These predicted enzymatic responses are used to constrain the FVA in the control and AD metabolic models

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BMC Bioinformatics

ISSN: 1471-2105

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