Abstract
Genome-scale metabolic models (GEMs) provide a useful framework for modeling the metabolism of microorganisms. While the applications of GEMs are wide and far reaching, the reconstruction and continuous curation of such models can be perceived as a tedious and time-consuming task. Using RAVEN, a MATLAB-based toolbox designed to facilitate the reconstruction analysis of metabolic networks, this protocol practically demonstrates how researchers can create their own GEMs using a homology-based approach. To provide a complete example, a draft GEM for the industrially relevant yeast Hansenula polymorpha is reconstructed.
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Zorrilla, F., Kerkhoven, E.J. (2022). Reconstruction of Genome-Scale Metabolic Model for Hansenula polymorpha Using RAVEN. In: Mapelli, V., Bettiga, M. (eds) Yeast Metabolic Engineering. Methods in Molecular Biology, vol 2513. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2399-2_16
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DOI: https://doi.org/10.1007/978-1-0716-2399-2_16
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