ATPASE Kinetic model Version 1
Mathematica notebook for the ATPase reaction.
SEEK ID: https://fairdomhub.org/models/143?version=1
1 item (and an image) are associated with this Model:-
ATPASE-SEEK.nb (Mathematica Notebook file - 13.5 KB)
Organism: Not specified
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Execution or visualisation environment: Not specified
Model image: (Click on the image to zoom) (Original)
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Views: 3256 Downloads: 105
Created: 11th Aug 2014 at 10:28
Last updated: 3rd Mar 2015 at 07:28
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Version History
Version 1 (earliest) Created 11th Aug 2014 at 10:28 by Dawie van Niekerk
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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
https://orcid.org/0000-0003-2633-0537
The Snoep Lab’s core research efforts are in Computational Systems Biology; a combined experimental, modeling and theoretical approach to quantitatively understand the functional behavior of Biological Systems resulting from the characteristics of their components. Our main focus is on metabolism, of human pathogens such as Plasmodium falciparum, Mycobacterium tuberculosis, but also of breast cancer cell lines, and on modelling disease states such as glucose homeostatis in type 2 diabetes, and ...
Projects: Whole body modelling of glucose metabolism in malaria patients, Steroid biosynthesis, Yeast glycolytic oscillations, Computational pathway design for biotechnological applications, Glucose metabolism in cancer cell lines
Web page: http://www.sun.ac.za/english/faculty/science/biochemistry/research/snoep-group
Hypoglycaemia and lactic acidosis are key diagnostics for poor chances of survival in malaria patients. In this project we aim to test to what extent the metabolic activity of Plasmodium falciparum contributes to a changed glucose metabolism in malaria patients. The approach is to start with detailed bottom up models for the parasite and then merge these with more coarse grained models at the whole body level.
Programme: SARCHI: Mechanistic modelling of health and epidemiology
Public web page: Not specified
