bakkerxml Version 1
Simulate Model on Copasi
Simulate Model on JWSSEEK ID: https://fairdomhub.org/models/36?version=1
1 item is associated with this Model:-
Bakker.xml (SBML and XML document - 43.4 KB)
Organism: Not specified
Model type: Ordinary differential equations (ODE)
Model format: SBML
Execution or visualisation environment: JWS Online
Model image: No image specified
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Creators and Submitter
Views: 3337 Downloads: 131 Runs: 0
Created: 7th Oct 2010 at 12:57
Last updated: 12th May 2016 at 14:25
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Version History
Version 1 (earliest) Created 7th Oct 2010 at 12:57 by Jacky Snoep
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Projects: PSYSMO, MOSES, SysMO DB, SysMO-LAB, SulfoSys, SulfoSys - Biotec, Whole body modelling of glucose metabolism in malaria patients, FAIRDOM, Molecular Systems Biology, COMBINE Multicellular Modelling, HOTSOLUTE, Steroid biosynthesis, Yeast glycolytic oscillations, Computational pathway design for biotechnological applications, SCyCode The Autotrophy-Heterotrophy Switch in Cyanobacteria: Coherent Decision-Making at Multiple Regulatory Layers, Project Coordination, WP 3: Drug release kinetics study, Glucose metabolism in cancer cell lines
Institutions: Manchester Centre for Integrative Systems Biology, University of Manchester, University of Stellenbosch, University of Manchester - Department of Computer Science, Stellenbosch University
SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB, SysMO Funders, SilicoTryp, Noisy-Strep
Web page: http://sysmo.net/
Comparative Systems Biology: Lactic Acid Bacteria
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=57
