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Created: 19th Jun 2018 at 12:06
Last updated: 19th Jun 2018 at 12:59
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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
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
Programme: SARCHI: Mechanistic modelling of health and epidemiology
Public web page: Not specified
Organisms: Homo sapiens
Submitter: Jacky Snoep
Studies: Substrate preferences for AKR1C3, and implications of varying AKR1C3:17B...
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Authors: Monique Barnard, Jonathan L. Quanson, Elahe Mostaghel, Elzette Pretorius, Jacky L. Snoep, Karl-Heinz Storbeck
Date Published: 1st Oct 2018
Publication Type: Not specified
DOI: 10.1016/j.jsbmb.2018.06.013
Citation: The Journal of Steroid Biochemistry and Molecular Biology 183 : 192