Web page: Not specified
Country: South Africa
Address: Not specified
Institutions: University of Stellenboschhttps://orcid.org/0000-0001-6288-8904
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
Institutions: Manchester Centre for Integrative Systems Biology, University of Manchester, University of Stellenbosch, University of Manchester - Department of Computer Science, Stellenbosch University
Background- Thermophilic organisms are composed of both bacterial and archaeal species. The enzymes isolated from these species and from other extreme habitats are more robust to temperature, organic solvents and proteolysis. They often have unique substrate specificities and originate from novel metabolic pathways. Thermophiles as well as their stable enzymes (‘thermozymes’) are receiving increased attention for biotechnological applications.
The proposed project will establish thermophilic in
The main objectives of SysMO-DB are to: facilitate the web-based exchange of data between research groups within- and inter- consortia, and to provide an integrated platform for the dissemination of the results of the SysMO projects to the scientific community. We aim to devise a progressive and scalable solution to the data management needs of the SysMO initiative, that:
* facilitates and maximises the potential for data exchange between SysMO research groups;
* maximises the ‘shelf life’ and
Within the e:Bio - Innovationswettbewerb Systembiologie (Federal Ministry of Education and Research (BMBF)), the SulfoSYSBIOTECH consortium (10 partners), aim to unravel the complexity and regulation of the carbon metabolic network of the thermoacidophilic archaeon Sulfolobus solfataricus (optimal growth at 80°C and pH 3) in order to provide new catalysts ‘extremozymes’ for utilization in White Biotechnology.
Based on the available S. solfataricus genome scale metabolic model (Ulas et al., 2012)
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.
Public web page: Not specified