Innate Inflammation; model 2018 Version 1
Simulate Model on CopasiModel that can be used to obtain the figures of Abudulikemu et al 2018: Abudukelimu, A., Barberis, M., Redegeld, F.A., Sahin, N., and Westerhoff, H.V. (2018). Predictable Irreversible Switching Between Acute and Chronic Inflammation. Front Immunol 9, 1596.
SEEK ID: https://fairdomhub.org/models/640?version=1
1 item is associated with this Model:-
0 CRA chronic start at SS CRA 30 try Fig 2.cps (XML document - 103 KB)
Organism: Not specified
Model type: Ordinary differential equations (ODE)
Model format: Copasi
Execution or visualisation environment: Copasi
Model image: No image specified
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Created: 5th Nov 2019 at 14:18
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Version History
Version 1 (earliest) Created 5th Nov 2019 at 14:18 by Hans V. Westerhoff
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Institutions: Manchester Centre for Integrative Systems Biology, University of Manchester, VU University Amsterdam, University of Amsterdam, Systems Biology Amsterdam
https://orcid.org/0000-0002-0443-6114
Systems Biologist at University of Amsterdam, Free University Amsterdam, University of Manchester, Infrastructure Systems Biology.NL (ISBE.NL), Systems Biology Amsterdam.
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/
MOSES (Micro Organism Systems biology: Energy and Saccharomyces cerevisiae) develops a new Systems Biology approach, which is called 'domino systems biology'. It uses this to unravel the role of cellular free energy ('ATP') in the control and regulation of cell function. MOSES operates though continuous iterations between partner groups through a new systems-biology driven data-management workflow. MOSES also tries to serve as a substrate for three or more other SYSMO programs.
Programme: SysMO
Public web page: http://www.moses.sys-bio.net/
