The authors declare that they have no competing interests.
Genome scale metabolic modeling of the riboflavin overproducer Ashbya gossypii
Article first published online: 27 DEC 2013
© 2013 Wiley Periodicals, Inc.
Biotechnology and Bioengineering
Volume 111, Issue 6, pages 1191–1199, June 2014
How to Cite
Ledesma-Amaro, R., Kerkhoven, E. J., Revuelta, J. L. and Nielsen, J. (2014), Genome scale metabolic modeling of the riboflavin overproducer Ashbya gossypii. Biotechnol. Bioeng., 111: 1191–1199. doi: 10.1002/bit.25167
- Issue published online: 25 APR 2014
- Article first published online: 27 DEC 2013
- Manuscript Accepted: 26 NOV 2013
- Manuscript Revised: 5 NOV 2013
- Manuscript Received: 26 AUG 2013
- Spanish Ministerio de Economía y Competitividad. Grant Number: BIO2011-23901
Additional supporting information may be found in the online version of this article at the publisher's web-site.
|bit25167-sm-0001-SuppFile-S1.xlsm||256K||Supplementary file 1. iRL766 model in excel format including well-annotated spreadsheets for reactions, metabolites and genes.|
|bit25167-sm-0001-SuppFile-S2.xlsm||2479K||Supplementary file 2. iRL766 model in SBML format.|
|bit25167-sm-0001-SuppFile-S3.xlsm||22K||Supplementary file 3. Differential reactions and genes between iRL766 and iTO977.|
|bit25167-sm-0001-SuppFile-S4.xlsm||20K||Supplementary file 4. Riboflavin synthetic pathway from glucose and oil in iRL766.|
|bit25167-sm-0001-SuppFile-S5.xlsm||11K||Supplementary file 5. Growth rate and riboflavin production constraints and simulation results.|
|bit25167-sm-0001-SuppFile-S6.xlsx||12K||Supplementary file 6. Carbon and nitrogen utilization simulated by iRL766.|
|bit25167-sm-0001-SuppFile-S7.xlsx||37K||Supplementary file 7. Single knockout simulation results.|
|bit25167-sm-0001-SuppFile-S8.xlsm||64K||Supplementary file 8. Reporter Metabolites results.|
|bit25167-sm-0001-SuppFile-S9.xlsm||10K||Supplementary file 9. Random Sampling results.|
|bit25167-sm-0001-SuppFile-S10.xlsx||244K||Supplementary file 10. Results from flux variability analysis of optimal riboflavin production, during growth on glucose or triolein.|
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