bioRxiv preprint doi: https://doi.org/10.1101/329714; this version posted May 24, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 A genome-scale metabolic model for Methylococcus 2 capsulatus predicts reduced efficiency uphill electron 3 transfer to pMMO. 4 Christian Lieven*1,
[email protected] 5 Leander A. H. Petersen2, 3,
[email protected] 6 Sten Bay Jørgensen3,
[email protected] 7 Krist V. Gernaey3,
[email protected] 8 Markus J. Herrgard1,
[email protected] 9 Nikolaus Sonnenschein1,
[email protected] 10 11 1The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark 12 2Unibio A/S, 13 3Department of Chemical Engineering, Technical University of Denmark 14 * Corresponding Author 15 16 17 18 19 20 21 22 1 bioRxiv preprint doi: https://doi.org/10.1101/329714; this version posted May 24, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 Abstract 2 Background: 3 Genome-scale metabolic models allow researchers to calculate yields, 4 to predict consumption and production rates, and to study the effect of 5 genetic modifications in silico, without running resource-intensive 6 experiments. While these models have become an invaluable tool for 7 optimizing industrial production hosts like E.