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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
The goal of the project is to establish a new biotechnological platform for the production of hydroxy-amino acids, since the current production of these important building blocks is very expensive. Enzyme engineering, systems biotechnology and metabolic engineering will be used in a synthetic biology approach.
Public web page: Not specified
Steady state model for the Caulobacter crescentus Weimberg pathway, describing the conversion of Xyl to KG. Protein levels need to be adapted to CFE levels, see SED-ML scripts.
Creator: Jacky Snoep
Submitter: Jacky Snoep
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Investigations: Caulobacter crescentus Weimberg pathway
Studies: Cell free extract