PGM Kinetic characterisation Version 1
SOP for measurement of PGM activity in extracts.
SEEK ID: https://fairdomhub.org/sops/206?version=1
Filename:
PGM SOP.docx
Format: Word document
Size: 91.7 KB
Export PNG
Creators and Submitter
Views: 3284 Downloads: 106
Created: 27th Aug 2014 at 10:27
Last updated: 3rd Mar 2015 at 09:38
TagsThis item has not yet been tagged.
AttributionsNone
Version History
Version 1 (earliest) Created 27th Aug 2014 at 10:27 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
