Aim. Constructing a predictive, dynamic model of the redox metabolism of trypanosomes. Aided by this model we will quantify the impact of gene-expression and metabolic regulation on redox metabolism. The model will be constructed in an iterative cycle of experimentation – modelling – analysis – experimentation, such that it can be extended and refined based on new experimental insights.
SEEK ID: https://fairdomhub.org/investigations/34
Projects: SilicoTryp
Investigation position:
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Created: 29th Feb 2012 at 07:47
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Projects: SilicoTryp, IMOMESIC
Institutions: University of Groningen, VU University Amsterdam
SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB, SysMO Funders, SilicoTryp, Noisy-Strep
Web page: http://sysmo.net/
The SilicoTryp project aims at the creation of a “Silicon Trypanosome”, a comprehensive, experiment-based, multi-scale mathematical model of trypanosome physiology. Trypanosomes are blood-stream parasites transmitted by tsetse flies; they cause African sleeping sickness in humans and livestock. Currently available drugs have severe side effects, and the parasites are rapidly developing resistance. In this project, we collect a wide range of new experimental data on the parasite in its various ...
Programme: SysMO
Public web page: http://silicotryp.ibls.gla.ac.uk/wiki/Main_Page
Organisms: Trypanosoma brucei
The output of the initial model of redox metabolism will be compared to experimental flux and metabolite data. Deviations between model and experiment will be prioritized together with WP2. We will apply Metabolic Control Analysis (Fell 1992 PMID: 1530563) to diagnose which enzymes control the deviating metabolite concentrations and/or rates. When the agreement between model and experiment is sufficient we will first link it to the existing model of trypanosome glycolysis and repeat the same ...
Submitter: Jurgen Haanstra
Investigation: Dynamic modelling of redox metabolism and gene ...
Assays: No Assays
Snapshots: No snapshots
Our current gene-expression model (Haanstra et al. 2008 PMID: 19008351) will be parameterized for the different genes of interest. The framework of this gene expression model has been used to include mRNA half life data into the model of glycolysis For the enzymes of redox metabolism we will use newly measured rates of transcription, RNA precursor degradation, mRNA degradation, concentrations of mature mRNAs and proteins, enzyme turnover, Vmax values and metabolic fluxes (WP3&5). Regulation ...
Submitter: Jurgen Haanstra
Investigation: Dynamic modelling of redox metabolism and gene ...
Assays: No Assays
Snapshots: No snapshots
We are in the process of construct an ODE model of the trypanothione pathway. As input we will use newly determined and existing kinetic data and measured metabolite concentrations at the boundaries (from WP3&6). Recently the glycolysis model was extended with the pentose phosphate pathway. This pathway will yield the NAPDH that maintains trypanothione in a reduced state. For some complex enzymes (i.e trypanothione synthase) we are intensively discussing the kinetic data obtained on the ...
Submitter: Jurgen Haanstra
Investigation: Dynamic modelling of redox metabolism and gene ...
Assays: No Assays
Snapshots: No snapshots