These authors contributed equally to this work.
Integrated metabolic spatial-temporal model for the prediction of ammonia detoxification during liver damage and regeneration
Version of Record online: 12 MAY 2014
© 2014 The Authors. Hepatology published by Wiley on behalf of the American Association for the Study of Liver Diseases.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Volume 60, Issue 6, pages 2040–2051, December 2014
How to Cite
Schliess, F., Hoehme, S., Henkel, S. G., Ghallab, A., Driesch, D., Böttger, J., Guthke, R., Pfaff, M., Hengstler, J. G., Gebhardt, R., Häussinger, D., Drasdo, D. and Zellmer, S. (2014), Integrated metabolic spatial-temporal model for the prediction of ammonia detoxification during liver damage and regeneration. Hepatology, 60: 2040–2051. doi: 10.1002/hep.27136
Potential conflict of interest: Dr. Pfaff owns stock in BioControl Jena.
This work was cofunded by the Virtual Liver Initiative (www.virtual-liver.de) of the German Federal Ministry of Education and Research, Collaborative Research Center 974 (Communication and Systems Relevance of Liver Damage and Regeneration), and the European Union Seventh Framework Programme for Research (projects NOTOX [Predicting long-term toxic effects using computer models based on systems characterization of organotypic cultures, http://notox-sb.eu/welcome/] and PASSPORT [PAtient Specific Simulation and PreOperative Realistic Training for liver surgery, http://www.passport-liver.eu/Homepage.html]).
Dirk Drasdo and Sebastian Zellmer share senior authorship.
See Editorial on Page 1823
- Issue online: 24 NOV 2014
- Version of Record online: 12 MAY 2014
- Accepted manuscript online: 19 MAR 2014 02:29AM EST
- Manuscript Accepted: 14 MAR 2014
- Manuscript Received: 21 AUG 2013
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