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Metabolic Network Reconstructions to Predict Drug Targets and Off-Target Effects

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Metabolic Flux Analysis in Eukaryotic Cells

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2088))

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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Author notes

  1. Kristopher Rawls and Bonnie V. Dougherty contributed equally to this work.

Authors and Affiliations

  1. Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA

    Kristopher Rawls, Bonnie V. Dougherty & Jason Papin

Authors
  1. Kristopher Rawls
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  2. Bonnie V. Dougherty
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  3. Jason Papin
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Corresponding author

Correspondence to Jason Papin .

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Editors and Affiliations

  1. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA

    Deepak Nagrath

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Rawls, K., Dougherty, B.V., Papin, J. (2020). Metabolic Network Reconstructions to Predict Drug Targets and Off-Target Effects. In: Nagrath, D. (eds) Metabolic Flux Analysis in Eukaryotic Cells. Methods in Molecular Biology, vol 2088. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0159-4_14

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  • DOI: https://doi.org/10.1007/978-1-0716-0159-4_14

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0158-7

  • Online ISBN: 978-1-0716-0159-4

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