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.
CITATION STYLE
Rawls, K., Dougherty, B. V., & Papin, J. (2020). Metabolic network reconstructions to predict drug targets and off-target effects. In Methods in Molecular Biology (Vol. 2088, pp. 315–330). Humana Press Inc. https://doi.org/10.1007/978-1-0716-0159-4_14
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