GAPDH

The currently used mathematical models for medical treatment at the individual or population level are largely phenomenological and have limited quantitative predictive power. It is usually not possible to predict the effect of an intervention in a specific process or to predict the effect of a pharmaceutical drug since the step or enzyme on which the intervention/drug works is not explicit in the model.

Taking HIV pathogenesis as an example, the immune system response, vaccine exposure, and drug ...

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.

The investigation entails the construction and validation of a detailed mathematical model for glycolysis of the malaria parasite Plasmodium falciparum in the blood stage trophozoite form.

This study includes all the experimental data, SOPs and modelling files for the individual reactions used for the model construction.

Experimental data set for the kinetic characterisation of GAPDH

Mathematica notebook for the parameterisation of the GAPDH rate equation based on SEEK linked experimental data.

SOP for measurement of GAPDH activity in extracts.