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Metabolic Network Reconstructions to Predict Drug Targets and Off-Target Effects
Kristopher Rawls1, Bonnie V Dougherty1, Jason Papin2
1Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
Abstract:
The drug development pipeline has stalled because of the difficulty in identifying new drug targets while minimizing off-target effects. Computational methods, such as the use of metabolic network reconstructions, may provide a cost-effective platform to test new hypotheses for drug targets and prevent off-target effects. Here, we summarize available methods to identify drug targets and off-target effects using either reaction-centric, gene-centric, or metabolite-centric approaches with genome-scale metabolic network reconstructions.
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