Flux vs parasitaemia
SEEK ID: https://fairdomhub.org/models/842?version=2
1 item is associated with this Model:-
FluxVSparasitemia_dutoit3.nb (Mathematica Notebook file - 46.6 KB)
Organism: Not specified
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Execution or visualisation environment: Mathematica
Model image: No image specified
Export PNG
Creators and Submitter
Views: 443 Downloads: 12
Created: 25th Apr 2023 at 11:52
Last updated: 29th Jul 2023 at 10:09
TagsThis item has not yet been tagged.
AttributionsNone
Version History
Version 2 (latest) Created 29th Jul 2023 at 09:16 by Dawie van Niekerk
No revision comments
Version 1 (earliest) Created 25th Apr 2023 at 11:52 by Dawie van Niekerk
No revision comments
Related items
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
The investigation entails the construction and validation of a detailed mathematical model for glycolysis erythrocytes infected with the malaria parasite Plasmodium falciparum in the blood stage form.
Submitter: Dawie van Niekerk
Studies: Analysis of model for malaria-infected erythrocytes, Intra-erythrocytic malaria parasite volumes, Validation of model for malaria-infected erythrocytes
Assays: Flux vs external glucose, Flux vs parasitaemia, GLC incubation, Inhibition of glycolytic flux, Malaria parasite volume determinations, Metabolic control analysis, Stage specific fluxes, Steady-state
This study includes the experimental data for model validation and the model predictions of that data set.
Submitter: Dawie van Niekerk
Investigation: Glucose metabolism in Plasmodium falciparum inf...
Assays: Flux vs external glucose, Flux vs parasitaemia, GLC incubation, Stage specific fluxes, Steady-state
Submitter: Dawie van Niekerk
Biological problem addressed: Validation
Investigation: Glucose metabolism in Plasmodium falciparum inf...
